修改了1-3级回波情况

pull/10/head
陈增辉 2025-04-09 15:06:06 +08:00
parent 1e2b811c73
commit 6b87c84311
11 changed files with 93 additions and 960 deletions

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@ -220,11 +220,13 @@
<PrecompiledHeaderFile>pch.h</PrecompiledHeaderFile> <PrecompiledHeaderFile>pch.h</PrecompiledHeaderFile>
<MultiProcessorCompilation>true</MultiProcessorCompilation> <MultiProcessorCompilation>true</MultiProcessorCompilation>
<EnableParallelCodeGeneration>true</EnableParallelCodeGeneration> <EnableParallelCodeGeneration>true</EnableParallelCodeGeneration>
<EnableEnhancedInstructionSet>NotSet</EnableEnhancedInstructionSet> <EnableEnhancedInstructionSet>NoExtensions</EnableEnhancedInstructionSet>
<OpenMPSupport>true</OpenMPSupport> <OpenMPSupport>true</OpenMPSupport>
<LanguageStandard>stdcpp14</LanguageStandard> <LanguageStandard>stdcpp14</LanguageStandard>
<LanguageStandard_C>stdc11</LanguageStandard_C> <LanguageStandard_C>stdc11</LanguageStandard_C>
<EnableFiberSafeOptimizations>true</EnableFiberSafeOptimizations> <EnableFiberSafeOptimizations>true</EnableFiberSafeOptimizations>
<WholeProgramOptimization>false</WholeProgramOptimization>
<Optimization>MaxSpeed</Optimization>
</ClCompile> </ClCompile>
<Link> <Link>
<SubSystem>Windows</SubSystem> <SubSystem>Windows</SubSystem>

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@ -121,6 +121,9 @@ void gdalImageComplex::saveImage(Eigen::MatrixXcd data, int start_row, int start
int datarows = data.rows(); int datarows = data.rows();
int datacols = data.cols(); int datacols = data.cols();
if (this->getDataType() == GDT_CFloat64)
{
double* databuffer = new double[data.size() * 2]; double* databuffer = new double[data.size() * 2];
for (int i = 0; i < data.rows(); i++) { for (int i = 0; i < data.rows(); i++) {
for (int j = 0; j < data.cols(); j++) { for (int j = 0; j < data.cols(); j++) {
@ -135,6 +138,31 @@ void gdalImageComplex::saveImage(Eigen::MatrixXcd data, int start_row, int start
databuffer, datacols, datarows, GDT_CFloat64, 0, 0); databuffer, datacols, datarows, GDT_CFloat64, 0, 0);
GDALFlushCache(poDstDS); GDALFlushCache(poDstDS);
delete databuffer; delete databuffer;
}
else if (this->getDataType() == GDT_CFloat32) {
float* databuffer = new float[data.size() * 2];
for (int i = 0; i < data.rows(); i++) {
for (int j = 0; j < data.cols(); j++) {
databuffer[i * data.cols() * 2 + j * 2] = float(data(i, j).real());
databuffer[i * data.cols() * 2 + j * 2 + 1] =float( data(i, j).imag());
}
}
// poDstDS->RasterIO(GF_Write,start_col, start_row, datacols, datarows, databuffer, datacols,
// datarows, GDT_Float32,band_ids, num,0,0,0);
poDstDS->GetRasterBand(band_ids)->RasterIO(GF_Write, start_col, start_row, datacols, datarows,
databuffer, datacols, datarows, GDT_CFloat32, 0, 0);
GDALFlushCache(poDstDS);
delete databuffer;
}
else {
throw std::exception("gdalImageComplex::saveImage: data type error");
}
GDALClose((GDALDatasetH)poDstDS); GDALClose((GDALDatasetH)poDstDS);
GDALDestroy(); // or, DllMain at DLL_PROCESS_DETACH GDALDestroy(); // or, DllMain at DLL_PROCESS_DETACH
omp_unset_lock(&lock); // omp_unset_lock(&lock); //

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@ -787,7 +787,7 @@ int ReflectTable_WGS2Range(QString dem_rc_path,QString outOriSimTiffPath,QStrin
int ResampleEChoDataFromGeoEcho(QString L2echodataPath, QString RangeLooktablePath, QString L1AEchoDataPath) { int ResampleEChoDataFromGeoEcho(QString L2echodataPath, QString RangeLooktablePath, QString L1AEchoDataPath) {
gdalImageComplex echodata(L2echodataPath); gdalImageComplex echodata(L2echodataPath);
gdalImage looktable(RangeLooktablePath); gdalImage looktable(RangeLooktablePath);
gdalImageComplex l1adata = CreategdalImageComplexNoProj(L1AEchoDataPath, looktable.height, looktable.width, 1, true); gdalImageComplex l1adata(L1AEchoDataPath);
Eigen::MatrixXcd echoArr = echodata.getDataComplex(0, 0, echodata.height, echodata.width, 1); Eigen::MatrixXcd echoArr = echodata.getDataComplex(0, 0, echodata.height, echodata.width, 1);
long blockHeight = Memory1GB / looktable.width / 8 * 2; long blockHeight = Memory1GB / looktable.width / 8 * 2;
@ -802,6 +802,7 @@ int ResampleEChoDataFromGeoEcho(QString L2echodataPath, QString RangeLooktablePa
long imgheight = blockHeight; long imgheight = blockHeight;
long imgwidth = looktable.width; long imgwidth = looktable.width;
#pragma omp parallel for
for (long i = 0; i < imgheight; i++) { for (long i = 0; i < imgheight; i++) {
for (long j = 0; j < imgwidth; j++) { for (long j = 0; j < imgwidth; j++) {

View File

@ -51,7 +51,7 @@ void QSARSimulationComplexEchoDataDialog::onpushButtonLookTableSelect_clicked()
{ {
QString fileNames = QFileDialog::getOpenFileName( QString fileNames = QFileDialog::getOpenFileName(
this, // 父窗口 this, // 父窗口
tr(u8"选择L1A回波数据文件"), // 标题 tr(u8"选择查找表回波数据文件"), // 标题
QString(), // 默认路径 QString(), // 默认路径
tr(ENVI_FILE_FORMAT_FILTER) // 文件过滤器 tr(ENVI_FILE_FORMAT_FILTER) // 文件过滤器
); );

View File

@ -130,12 +130,6 @@ void QSimulationBPImageMultiProduction::onbtnaccepted()
QString imgNetPath = this->ui->lineEditImageNetPath->text().trimmed(); QString imgNetPath = this->ui->lineEditImageNetPath->text().trimmed();
QString echoDataPath = this->ui->lineEditEchoPath->text().trimmed(); QString echoDataPath = this->ui->lineEditEchoPath->text().trimmed();
this->hide(); this->hide();
QString echofile = echoDataPath; QString echofile = echoDataPath;
QString outImageFolder = getParantFromPath(L2DataPath); QString outImageFolder = getParantFromPath(L2DataPath);
@ -164,15 +158,32 @@ void QSimulationBPImageMultiProduction::onbtnaccepted()
TBPimag.ProcessWithGridNet(cpucore_num, imgNetPath); TBPimag.ProcessWithGridNet(cpucore_num, imgNetPath);
qDebug() << u8"系统几何校正中"; qDebug() << u8"系统几何校正中";
// ´¦Àí³ÉÏñÓ³Éä
std::shared_ptr< SARSimulationImageL1Dataset> imagL2(new SARSimulationImageL1Dataset);
imagL2->setCenterAngle(echoL0ds->getCenterAngle());
imagL2->setCenterFreq(echoL0ds->getCenterFreq());
imagL2->setNearRange(echoL0ds->getNearRange());
imagL2->setRefRange((echoL0ds->getNearRange() + echoL0ds->getFarRange()) / 2);
imagL2->setFarRange(echoL0ds->getFarRange());
imagL2->setFs(echoL0ds->getFs());
imagL2->setLookSide(echoL0ds->getLookSide());
QString outL1AImageFolder = getParantFromPath(L1ADataPath);
QString L1Aimagename = getFileNameFromPath(L1ADataPath);
gdalImage Looktableimg(looktablePath);
imagL2->OpenOrNew(outL1AImageFolder, L1Aimagename, Looktableimg.height, Looktableimg.width);
QString L1AEchoDataPath =imagL2->getImageRasterPath();
ResampleEChoDataFromGeoEcho(imagL1->getImageRasterPath(), looktablePath, L1AEchoDataPath);
ResampleEChoDataFromGeoEcho(imagL1->getImageRasterPath(), looktablePath, L1ADataPath);
this->show(); this->show();
QMessageBox::information(this,u8"成像",u8"成像结束"); QMessageBox::information(this,u8"成像",u8"成像结束");
} }
void QSimulationBPImageMultiProduction::onbtnrejected() void QSimulationBPImageMultiProduction::onbtnrejected()

View File

@ -45,7 +45,7 @@
</size> </size>
</property> </property>
<property name="text"> <property name="text">
<string>D:\Programme\vs2022\RasterMergeTest\LAMPCAE_SCANE-all-scane\GF3_Simulation.xml</string> <string>D:/FZSimulation/LTDQ/Input/xml/xml/165665/echodata/LT1B_DQ_165665_Simulation.xml</string>
</property> </property>
</widget> </widget>
</item> </item>
@ -93,7 +93,7 @@
</size> </size>
</property> </property>
<property name="text"> <property name="text">
<string>D:\Programme\vs2022\RasterMergeTest\simulationData\demdataset\demxyz.bin</string> <string>D:/FZSimulation/LTDQ/Input/xml/xml/165665/InSARImageXYZ/LT1A_165665_InSAR_ImageXYZ_looktable.bin</string>
</property> </property>
</widget> </widget>
</item> </item>
@ -144,7 +144,7 @@
</size> </size>
</property> </property>
<property name="text"> <property name="text">
<string>D:\Programme\vs2022\RasterMergeTest\simulationData\demdataset\demxyz.bin</string> <string>D:/FZSimulation/LTDQ/Input/DEM1/looktable165665/LT1A_65665_looktable_Range.bin</string>
</property> </property>
</widget> </widget>
</item> </item>
@ -195,7 +195,7 @@
</size> </size>
</property> </property>
<property name="text"> <property name="text">
<string>D:\Programme\vs2022\RasterMergeTest\simulationData\demdataset\demxyz.bin</string> <string>D:/FZSimulation/LTDQ/Input/xml/xml/165665/TBPImageProduction/L1/LT1A_165665_L1A</string>
</property> </property>
</widget> </widget>
</item> </item>
@ -249,7 +249,7 @@
</size> </size>
</property> </property>
<property name="text"> <property name="text">
<string>D:\Programme\vs2022\RasterMergeTest\LAMPCAE_SCANE-all-scane\BPImage\GF3BPImage</string> <string>D:/FZSimulation/LTDQ/Input/xml/xml/165665/TBPImageProduction/L2/LT1A_165665_L2</string>
</property> </property>
</widget> </widget>
</item> </item>

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@ -537,23 +537,23 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
// ¼ÆËãб¾àË¥¼õ // ¼ÆËãб¾àË¥¼õ
float antDirectR = sqrtf(antp.antDirectX * antp.antDirectX //float antDirectR = sqrtf(antp.antDirectX * antp.antDirectX
+ antp.antDirectY * antp.antDirectY // + antp.antDirectY * antp.antDirectY
+ antp.antDirectZ * antp.antDirectZ); // + antp.antDirectZ * antp.antDirectZ);
float diectAngle = -1 * (RstX * antp.antDirectX + //float diectAngle = -1 * (RstX * antp.antDirectX +
RstY * antp.antDirectY + // RstY * antp.antDirectY +
RstZ * antp.antDirectZ) / (antDirectR); // RstZ * antp.antDirectZ) / (antDirectR);
diectAngle = acosf(diectAngle);// »¡¶ÈÖÆ //diectAngle = acosf(diectAngle);// »¡¶ÈÖÆ
diectAngle = diectAngle * GainWeight; //diectAngle = diectAngle * GainWeight;
float ampGain = 1; float ampGain = 1;
ampGain = 2 * maxGain * (1 - (powf(diectAngle, 2) / 6) //ampGain = 2 * maxGain * (1 - (powf(diectAngle, 2) / 6)
+ (powf(diectAngle, 4) / 120) // + (powf(diectAngle, 4) / 120)
- (powf(diectAngle, 6) / 5040)); //dB // - (powf(diectAngle, 6) / 5040)); //dB
ampGain = powf(10.0, ampGain / 10.0); //ampGain = powf(10.0, ampGain / 10.0);
ampGain = ampGain / (PI4POW2 * powf(RstR, 4)); // ·´ÉäÇ¿¶È ampGain = ampGain / (PI4POW2 * powf(RstR, 4)); // ·´ÉäÇ¿¶È
float sigma = GPU_getSigma0dB(sigma0Params, localangle); float sigma = GPU_getSigma0dB(sigma0Params, localangle);
@ -571,7 +571,6 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
d_temp_R[idx] =static_cast<float>(temp_R); d_temp_R[idx] =static_cast<float>(temp_R);
return; return;
} }
} }
} }
} }

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@ -81,6 +81,10 @@ ErrorCode TBPImageAlgCls::ProcessWithGridNet(long num_thread,QString xyzRasterPa
} }
// 处理成像映射
CopyProjectTransformMatrixFromRasterAToRasterB(this->outRasterXYZPath, this->L1ds->getImageRasterPath());
qDebug() << u8"频域回波-> 时域回波 结束"; qDebug() << u8"频域回波-> 时域回波 结束";
if (GPURUN) { if (GPURUN) {
@ -91,8 +95,6 @@ ErrorCode TBPImageAlgCls::ProcessWithGridNet(long num_thread,QString xyzRasterPa
return ErrorCode::FAIL; return ErrorCode::FAIL;
} }
// 处理成像映射
CopyProjectTransformMatrixFromRasterAToRasterB(this->outRasterXYZPath, this->L1ds->getImageRasterPath());
return ErrorCode::SUCCESS; return ErrorCode::SUCCESS;

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@ -124,8 +124,10 @@
<OpenMPSupport>true</OpenMPSupport> <OpenMPSupport>true</OpenMPSupport>
<LanguageStandard>stdcpp14</LanguageStandard> <LanguageStandard>stdcpp14</LanguageStandard>
<LanguageStandard_C>stdc11</LanguageStandard_C> <LanguageStandard_C>stdc11</LanguageStandard_C>
<WholeProgramOptimization>true</WholeProgramOptimization> <WholeProgramOptimization>false</WholeProgramOptimization>
<EnableFiberSafeOptimizations>false</EnableFiberSafeOptimizations> <EnableFiberSafeOptimizations>true</EnableFiberSafeOptimizations>
<EnableEnhancedInstructionSet>NoExtensions</EnableEnhancedInstructionSet>
<Optimization>MaxSpeed</Optimization>
</ClCompile> </ClCompile>
<CudaCompile> <CudaCompile>
<GenerateRelocatableDeviceCode>true</GenerateRelocatableDeviceCode> <GenerateRelocatableDeviceCode>true</GenerateRelocatableDeviceCode>

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@ -151,10 +151,10 @@
<ClCompile Include="PowerSimulationIncoherent\QLookTableResampleFromWGS84ToRange.cpp"> <ClCompile Include="PowerSimulationIncoherent\QLookTableResampleFromWGS84ToRange.cpp">
<Filter>PowerSimulationIncoherent</Filter> <Filter>PowerSimulationIncoherent</Filter>
</ClCompile> </ClCompile>
<ClCompile Include="SARImage\QSARSimulationComplexEchoDataDialog.cpp"> <ClCompile Include="SARImage\QSimulationBPImageMultiProduction.cpp">
<Filter>SARImage</Filter> <Filter>SARImage</Filter>
</ClCompile> </ClCompile>
<ClCompile Include="SARImage\QSimulationBPImageMultiProduction.cpp"> <ClCompile Include="SARImage\QSARSimulationComplexEchoDataDialog.cpp">
<Filter>SARImage</Filter> <Filter>SARImage</Filter>
</ClCompile> </ClCompile>
</ItemGroup> </ItemGroup>

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@ -1,912 +0,0 @@
#include "ImageNetOperator.h"
#include "LogInfoCls.h"
#include "PrintMsgToQDebug.h"
#include <QDebug>
#include "ImageOperatorBase.h"
#include "GPUBaseTool.h"
#include "GPUBPImageNet.cuh"
#include "BaseTool.h"
#include "BaseConstVariable.h"
void InitCreateImageXYZProcess(QString& outImageLLPath, QString& outImageXYZPath, QString& InEchoGPSDataPath,
double& NearRange, double& RangeResolution, int64_t& RangeNum)
{
qDebug() << "---------------------------------------------------------------------------------";
qDebug() << u8"创建粗成像平面斜距投影网格";
gdalImage antimg(InEchoGPSDataPath);
qDebug() << u8"1. 回波GPS坐标点文件参数\t";
qDebug() << u8"文件路径:\t" << InEchoGPSDataPath;
qDebug() << u8"GPS 点数:\t" << antimg.height;
qDebug() << u8"文件列数:\t" << antimg.width;
qDebug() << u8"2.斜距网格参数:";
qDebug() << u8"近距离:\t" << NearRange;
qDebug() << u8"分辨率:\t" << RangeResolution;
qDebug() << u8"网格点数:\t" << RangeNum;
qDebug() << u8"3.输出文件参数:";
gdalImage outimgll = CreategdalImageDouble(outImageLLPath, antimg.height,RangeNum, 3,true,true);
gdalImage outimgxyz = CreategdalImageDouble(outImageXYZPath, antimg.height, RangeNum, 3, true, true);
qDebug() << u8"成像平面文件(经纬度)网格路径:\t" << outImageLLPath;
qDebug() << u8"成像平面文件XYZ网格路径\t" << outImageXYZPath;
qDebug() << u8"4.开始创建成像网格XYZ";
long prfcount = antimg.height;
long rangeNum = RangeNum;
double Rnear = NearRange;
double dx = RangeResolution;
long blockRangeCount = Memory1GB / sizeof(double) / 4 / prfcount *6;
blockRangeCount = blockRangeCount < 1 ? 1 : blockRangeCount;
std::shared_ptr<double> Pxs((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> Pys((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> Pzs((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectX((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectY((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectZ((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
{
long colnum = 19;
std::shared_ptr<double> antpos =readDataArr<double>(antimg,0,0,prfcount, colnum,1,GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
double time = 0;
double Px = 0;
double Py = 0;
double Pz = 0;
for (long i = 0; i < prfcount; i++) {
Pxs.get()[i] = antpos.get()[i * 19 + 1]; // 卫星坐标
Pys.get()[i] = antpos.get()[i * 19 + 2];
Pzs.get()[i] = antpos.get()[i * 19 + 3];
AntDirectX.get()[i] = antpos.get()[i * 19 + 13];// zero doppler
AntDirectY.get()[i] = antpos.get()[i * 19 + 14];
AntDirectZ.get()[i] = antpos.get()[i * 19 + 15];
double NormAnt = std::sqrt(AntDirectX.get()[i] * AntDirectX.get()[i] +
AntDirectY.get()[i] * AntDirectY.get()[i] +
AntDirectZ.get()[i] * AntDirectZ.get()[i]);
AntDirectX.get()[i] = AntDirectX.get()[i] / NormAnt;
AntDirectY.get()[i] = AntDirectY.get()[i] / NormAnt;
AntDirectZ.get()[i] = AntDirectZ.get()[i] / NormAnt;// 归一化
}
antpos.reset();
}
std::shared_ptr<double> d_Pxs((double*)mallocCUDADevice(sizeof(double) * prfcount), FreeCUDADevice);
std::shared_ptr<double> d_Pys((double*)mallocCUDADevice(sizeof(double) * prfcount), FreeCUDADevice);
std::shared_ptr<double> d_Pzs((double*)mallocCUDADevice(sizeof(double) * prfcount), FreeCUDADevice);
std::shared_ptr<double> d_AntDirectX((double*)mallocCUDADevice(sizeof(double) * prfcount), FreeCUDADevice);
std::shared_ptr<double> d_AntDirectY((double*)mallocCUDADevice(sizeof(double) * prfcount), FreeCUDADevice);
std::shared_ptr<double> d_AntDirectZ((double*)mallocCUDADevice(sizeof(double) * prfcount), FreeCUDADevice);
HostToDevice(Pxs.get(), d_Pxs.get(), sizeof(double) * prfcount);
HostToDevice(Pys.get(), d_Pys.get(), sizeof(double) * prfcount);
HostToDevice(Pzs.get(), d_Pzs.get(), sizeof(double) * prfcount);
HostToDevice(AntDirectX.get(), d_AntDirectX.get(), sizeof(double) * prfcount);
HostToDevice(AntDirectY.get(), d_AntDirectY.get(), sizeof(double) * prfcount);
HostToDevice(AntDirectZ.get(), d_AntDirectZ.get(), sizeof(double) * prfcount);
for (long startcolidx = 0; startcolidx < RangeNum; startcolidx = startcolidx + blockRangeCount) {
long tempechocol = blockRangeCount;
if (startcolidx + tempechocol >= RangeNum) {
tempechocol = RangeNum - startcolidx;
}
qDebug() << " imgxyz :\t" << startcolidx << "\t-\t" << startcolidx + tempechocol << " / " << RangeNum;
std::shared_ptr<double> demx = readDataArr<double>(outimgxyz, 0, startcolidx, prfcount, tempechocol, 1, GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
std::shared_ptr<double> demy = readDataArr<double>(outimgxyz, 0, startcolidx, prfcount, tempechocol, 2, GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
std::shared_ptr<double> demz = readDataArr<double>(outimgxyz, 0, startcolidx, prfcount, tempechocol, 3, GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
std::shared_ptr<double> h_demx((double*)mallocCUDAHost(sizeof(double) * prfcount * tempechocol), FreeCUDAHost);
std::shared_ptr<double> h_demy((double*)mallocCUDAHost(sizeof(double) * prfcount * tempechocol), FreeCUDAHost);
std::shared_ptr<double> h_demz((double*)mallocCUDAHost(sizeof(double) * prfcount * tempechocol), FreeCUDAHost);
#pragma omp parallel for
for (long ii = 0; ii < prfcount; ii++) {
for (long jj = 0; jj < tempechocol; jj++) {
h_demx.get()[ii * tempechocol + jj] = demx.get()[ii * tempechocol + jj];
h_demy.get()[ii * tempechocol + jj] = demy.get()[ii * tempechocol + jj];
h_demz.get()[ii * tempechocol + jj] = demz.get()[ii * tempechocol + jj];
}
}
std::shared_ptr<double> d_demx((double*)mallocCUDADevice(sizeof(double) * prfcount * tempechocol), FreeCUDADevice);
std::shared_ptr<double> d_demy((double*)mallocCUDADevice(sizeof(double) * prfcount * tempechocol), FreeCUDADevice);
std::shared_ptr<double> d_demz((double*)mallocCUDADevice(sizeof(double) * prfcount * tempechocol), FreeCUDADevice);
HostToDevice(h_demx.get(), d_demx.get(), sizeof(double) * prfcount * tempechocol);
HostToDevice(h_demy.get(), d_demy.get(), sizeof(double) * prfcount * tempechocol);
HostToDevice(h_demz.get(), d_demz.get(), sizeof(double) * prfcount * tempechocol);
TIMEBPCreateImageGrid(
d_Pxs.get(), d_Pys.get(), d_Pzs.get(),
d_AntDirectX.get(), d_AntDirectY.get(), d_AntDirectZ.get(),
d_demx.get(), d_demy.get(), d_demz.get(),
prfcount, tempechocol, 0,
Rnear + dx * startcolidx, dx // 更新最近修读
);
DeviceToHost(h_demx.get(), d_demx.get(), sizeof(double) * prfcount * tempechocol);
DeviceToHost(h_demy.get(), d_demy.get(), sizeof(double) * prfcount * tempechocol);
DeviceToHost(h_demz.get(), d_demz.get(), sizeof(double) * prfcount * tempechocol);
#pragma omp parallel for
for (long ii = 0; ii < prfcount; ii++) {
for (long jj = 0; jj < tempechocol; jj++) {
demx.get()[ii * tempechocol + jj] = h_demx.get()[ii * tempechocol + jj];
demy.get()[ii * tempechocol + jj] = h_demy.get()[ii * tempechocol + jj];
demz.get()[ii * tempechocol + jj] = h_demz.get()[ii * tempechocol + jj];
}
}
outimgxyz.saveImage(demx, 0, startcolidx, prfcount, tempechocol, 1);
outimgxyz.saveImage(demy, 0, startcolidx, prfcount, tempechocol, 2);
outimgxyz.saveImage(demz, 0, startcolidx, prfcount, tempechocol, 3);
// 将XYZ转换为经纬度
std::shared_ptr<double> demllx = readDataArr<double>(outimgll, 0, startcolidx, prfcount, tempechocol, 1, GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
std::shared_ptr<double> demlly = readDataArr<double>(outimgll, 0, startcolidx, prfcount, tempechocol, 2, GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
std::shared_ptr<double> demllz = readDataArr<double>(outimgll, 0, startcolidx, prfcount, tempechocol, 3, GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
#pragma omp parallel for
for (long ii = 0; ii < prfcount; ii++) {
for (long jj = 0; jj < tempechocol; jj++) {
double x = demx.get()[ii * tempechocol + jj];
double y = demy.get()[ii * tempechocol + jj];
double z = demz.get()[ii * tempechocol + jj];
Landpoint point;
XYZ2BLH_FixedHeight(x, y, z, 0, point);
demllx.get()[ii * tempechocol + jj] = point.lon;
demlly.get()[ii * tempechocol + jj] = point.lat;
demllz.get()[ii * tempechocol + jj] = point.ati;
}
}
outimgll.saveImage(demllx, 0, startcolidx, prfcount, tempechocol, 1);
outimgll.saveImage(demlly, 0, startcolidx, prfcount, tempechocol, 2);
outimgll.saveImage(demllz, 0, startcolidx, prfcount, tempechocol, 3);
}
qDebug() << u8"6.保存成像网格结果";
qDebug() << "---------------------------------------------------------------------------------";
}
bool OverlapCheck(QString& ImageLLPath, QString& ImageDEMPath)
{
// 检查DEM是否是WGS84坐标系
//long demEPSG = GetEPSGFromRasterFile(ImageDEMPath);
//if (demEPSG != 4326) {
// qDebug() << u8"DEM坐标系不是WGS84坐标系,ESPG:"<< demEPSG;
// return false;
//}
gdalImage demimg(ImageDEMPath);
gdalImage imgll(ImageLLPath);
long imgheight = imgll.height;
long imgwidth = imgll.width;
Eigen::MatrixXd imglonArr = imgll.getData(0, 0, imgheight, imgwidth, 1);
Eigen::MatrixXd imglatArr = imgll.getData(0, 0, imgheight, imgwidth, 2);
// 打印范围
qDebug() << u8"影像范围:";
qDebug() << u8"最小经度:\t" << imglonArr.minCoeff();
qDebug() << u8"最大经度:\t" << imglonArr.maxCoeff();
qDebug() << u8"最小纬度:\t" << imglatArr.minCoeff();
qDebug() << u8"最大纬度:\t" << imglatArr.maxCoeff();
qDebug() << u8"DEM范围";
RasterExtend demextend = demimg.getExtend();
qDebug() << u8"最小经度:\t" << demextend.min_x;
qDebug() << u8"最大经度:\t" << demextend.max_x;
qDebug() << u8"最小纬度:\t" << demextend.min_y;
qDebug() << u8"最大纬度:\t" << demextend.max_y;
qDebug() << u8"影像大小:\t" << demimg.height << " * " << demimg.width;
for (long i = 0; i < imgheight; i++)
{
for (long j = 0; j < imgwidth; j++)
{
double lon = imglonArr(i, j); // X
double lat = imglatArr(i, j); // Y
Landpoint point = demimg.getRow_Col(lon, lat);
imglonArr(i, j) = point.lon;
imglatArr(i, j) = point.lat;
}
}
double minX = imglonArr.minCoeff();
double maxX = imglonArr.maxCoeff();
double minY = imglatArr.minCoeff();
double maxY = imglatArr.maxCoeff();
//打印范围
qDebug() << u8"dem 的范围:";
qDebug() << u8"minX:"<<minX<<"\t"<<demimg.width;
qDebug() << u8"maxX:"<<maxX << "\t" << demimg.width;
qDebug() << u8"minY:"<<minY << "\t" << demimg.height;
qDebug() << u8"maxY:"<<maxY << "\t" << demimg.height;
qDebug() << u8"图像行列:\t" << demimg.height << " , " << demimg.width;
if (minX<1 || maxX>demimg.width - 1 || minY<1 || maxY>demimg.height - 1) {
return false;
}
else {
return true;
}
}
bool GPSPointsNumberEqualCheck(QString& ImageLLPath, QString& InEchoGPSDataPath)
{
gdalImage antimg(InEchoGPSDataPath);
gdalImage imgll(ImageLLPath);
return antimg.height == imgll.height;
}
void InterploateAtiByRefDEM(QString& ImageLLPath, QString& ImageDEMPath, QString& outImageLLAPath, QString& InEchoGPSDataPath)
{
gdalImage demimg(ImageDEMPath);
gdalImage imgll(ImageLLPath);
gdalImage outimgll = CreategdalImageDouble(outImageLLAPath, imgll.height, imgll.width, 4, true, true); // 经度、纬度、高程、斜距
long imgheight = imgll.height;
long imgwidth = imgll.width;
Eigen::MatrixXd imglonArr = imgll.getData(0, 0, imgheight, imgwidth, 1);
Eigen::MatrixXd imglatArr = imgll.getData(0, 0, imgheight, imgwidth, 2);
Eigen::MatrixXd demArr = demimg.getData(0, 0, demimg.height, demimg.width, 1);
Eigen::MatrixXd imgatiArr = Eigen::MatrixXd::Zero(imgheight, imgwidth);
Eigen::MatrixXd imgRArr = Eigen::MatrixXd::Zero(imgheight, imgwidth);
outimgll.saveImage(imglonArr, 0, 0, 1);
outimgll.saveImage(imglatArr, 0, 0, 2);
double minX = imglonArr.minCoeff();
double maxX = imglonArr.maxCoeff();
double minY = imglatArr.minCoeff();
double maxY = imglatArr.maxCoeff();
//打印范围
qDebug() << u8"dem 的范围:";
qDebug() << u8"minX:" << minX << "\t" << demimg.width;
qDebug() << u8"maxX:" << maxX << "\t" << demimg.width;
qDebug() << u8"minY:" << minY << "\t" << demimg.height;
qDebug() << u8"maxY:" << maxY << "\t" << demimg.height;
qDebug() << u8"图像行列:\t" << demimg.height << " , " << demimg.width;
for (long i = 0; i < imgheight; i++) {
//printf("\rprocess:%f precent\t\t\t",i*100.0/imgheight);
for (long j = 0; j < imgwidth; j++) {
double lon = imglonArr(i, j);
double lat = imglatArr(i, j);
Landpoint point = demimg.getRow_Col(lon, lat);
if (point.lon<1 || point.lon>demimg.width - 2 || point.lat < 1 || point.lat - 2) {
continue;
}
else {}
Landpoint p0, p11, p21, p12, p22;
p0.lon = point.lon;
p0.lat = point.lat;
p11.lon = floor(p0.lon);
p11.lat = floor(p0.lat);
p11.ati = demArr(long(p11.lat), long(p11.lon));
p12.lon = ceil(p0.lon);
p12.lat = floor(p0.lat);
p12.ati = demArr(long(p12.lat), long(p12.lon));
p21.lon = floor(p0.lon);
p21.lat = ceil(p0.lat);
p21.ati = demArr(long(p21.lat), long(p21.lon));
p22.lon = ceil(p0.lon);
p22.lat = ceil(p0.lat);
p22.ati = demArr(long(p22.lat), long(p22.lon));
p0.lon = p0.lon - p11.lon;
p0.lat = p0.lat - p11.lat;
p12.lon = p12.lon - p11.lon;
p12.lat = p12.lat - p11.lat;
p21.lon = p21.lon - p11.lon;
p21.lat = p21.lat - p11.lat;
p22.lon = p22.lon - p11.lon;
p22.lat = p22.lat - p11.lat;
p11.lon = p11.lon - p11.lon;
p11.lat = p11.lat - p11.lat;
p0.ati=Bilinear_interpolation(p0, p11, p21, p12, p22);
imgatiArr(i, j) = p0.ati;
}
}
outimgll.saveImage(imgatiArr, 0, 0, 3);
qDebug() << u8"计算每个点的斜距值";
gdalImage antimg(InEchoGPSDataPath);
qDebug() << u8"1. 回波GPS坐标点文件参数\t";
qDebug() << u8"文件路径:\t" << InEchoGPSDataPath;
qDebug() << u8"GPS 点数:\t" << antimg.height;
qDebug() << u8"文件列数:\t" << antimg.width;
long prfcount = antimg.height;
std::shared_ptr<double> Pxs((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> Pys((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> Pzs((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectX((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectY((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectZ((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
{
long colnum = 19;
std::shared_ptr<double> antpos = readDataArr<double>(antimg, 0, 0, prfcount, colnum, 1, GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
double time = 0;
double Px = 0;
double Py = 0;
double Pz = 0;
for (long i = 0; i < prfcount; i++) {
Pxs.get()[i] = antpos.get()[i * 19 + 1]; // 卫星坐标
Pys.get()[i] = antpos.get()[i * 19 + 2];
Pzs.get()[i] = antpos.get()[i * 19 + 3];
AntDirectX.get()[i] = antpos.get()[i * 19 + 13];// zero doppler
AntDirectY.get()[i] = antpos.get()[i * 19 + 14];
AntDirectZ.get()[i] = antpos.get()[i * 19 + 15];
double NormAnt = std::sqrt(AntDirectX.get()[i] * AntDirectX.get()[i] +
AntDirectY.get()[i] * AntDirectY.get()[i] +
AntDirectZ.get()[i] * AntDirectZ.get()[i]);
AntDirectX.get()[i] = AntDirectX.get()[i] / NormAnt;
AntDirectY.get()[i] = AntDirectY.get()[i] / NormAnt;
AntDirectZ.get()[i] = AntDirectZ.get()[i] / NormAnt;// 归一化
}
antpos.reset();
}
#pragma omp parallel for
for (long prfid = 0; prfid < prfcount; prfid++) {
double Px = Pxs.get()[prfid];
double Py = Pys.get()[prfid];
double Pz = Pzs.get()[prfid];
double R = 0;
Landpoint LLA = {};
Point3 XYZ = {};
for (long j = 0; j < imgwidth; j++) {
LLA.lon = imglonArr(prfid, j);
LLA.lat = imglatArr(prfid, j);
LLA.ati = imgatiArr(prfid, j);
LLA2XYZ(LLA, XYZ);
R = sqrt(pow(Px - XYZ.x, 2) +
pow(Py - XYZ.y, 2) +
pow(Pz - XYZ.z, 2));
imgRArr(prfid, j) = R;
}
}
outimgll.saveImage(imgRArr, 0, 0, 4);
qDebug() << u8"插值完成";
}
void InterploateClipAtiByRefDEM(QString ImageLLPath, QString& ImageDEMPath, QString& outImageLLAPath, QString& InEchoGPSDataPath) {
gdalImage demimg(ImageDEMPath);
gdalImage imgll(ImageLLPath);
// 裁剪
long imgheight = imgll.height;
long imgwidth = imgll.width;
long minRow = -1;
long maxRow = imgheight;
long minCol = -1;
long maxCol = imgwidth;
Eigen::MatrixXd imglonArr = imgll.getData(0, 0, imgheight, imgwidth, 1);
Eigen::MatrixXd imglatArr = imgll.getData(0, 0, imgheight, imgwidth, 2);
#pragma omp parallel for
for (long i = 0; i < imgheight; i++) {
for (long j = 0; j < imgwidth; j++) {
double lon = imglonArr(i, j);
double lat = imglatArr(i, j);
Landpoint point = demimg.getRow_Col(lon, lat);
imglonArr(i, j) = point.lon;
imglatArr(i, j) = point.lat;
}
}
// 开始逐行扫描
bool minRowFlag=true, maxRowFlag= true, minColFlag = true, maxColFlag = true;
for (long i = 0; i < imgheight; i++) {
for (long j = 0; j < imgwidth; j++) {
if (imglonArr(i, j) > 0 && minRowFlag) {
minRowFlag = false;
minRow = i;
break;
}
if (imglonArr(i, j) < imgheight) {
maxRow = i;
}
}
}
for (long j = 0; j < imgwidth; j++) {
for (long i = 0; i < imgheight; i++) {
if (imglatArr(i, j) > 0 && minColFlag) {
minColFlag = false;
minCol = j;
break;
}
if (imglatArr(i, j) < imgheight) {
maxCol = j;
}
}
}
long RowCount = maxRow - minRow;
long ColCount = maxCol - minCol;
gdalImage outimgll = CreategdalImageDouble(outImageLLAPath, RowCount, ColCount, 4, true, true); // 经度、纬度、高程、斜距
imgheight = outimgll.height;
imgwidth = outimgll.width;
imglonArr = imgll.getData(minRow, minCol, RowCount, ColCount, 1);
imglatArr = imgll.getData(minRow, minCol, RowCount, ColCount, 2);
Eigen::MatrixXd demArr = demimg.getData(0, 0, demimg.height, demimg.width, 1);
Eigen::MatrixXd imgatiArr = Eigen::MatrixXd::Zero(imgheight, imgwidth);
Eigen::MatrixXd imgRArr = Eigen::MatrixXd::Zero(imgheight, imgwidth);
outimgll.saveImage(imglonArr, 0, 0, 1);
outimgll.saveImage(imglatArr, 0, 0, 2);
double minX = imglonArr.minCoeff();
double maxX = imglonArr.maxCoeff();
double minY = imglatArr.minCoeff();
double maxY = imglatArr.maxCoeff();
//打印范围
qDebug() << u8"dem 的范围:";
qDebug() << u8"minX:" << minX << "\t" << demimg.width;
qDebug() << u8"maxX:" << maxX << "\t" << demimg.width;
qDebug() << u8"minY:" << minY << "\t" << demimg.height;
qDebug() << u8"maxY:" << maxY << "\t" << demimg.height;
qDebug() << u8"图像行列:\t" << demimg.height << " , " << demimg.width;
for (long i = 0; i < imgheight; i++) {
//printf("\rprocess:%f precent\t\t\t",i*100.0/imgheight);
for (long j = 0; j < imgwidth; j++) {
double lon = imglonArr(i, j);
double lat = imglatArr(i, j);
Landpoint point = demimg.getRow_Col(lon, lat);
if (point.lon<1 || point.lon>demimg.width - 2 || point.lat < 1 || point.lat - 2) {
continue;
}
else {}
Landpoint p0, p11, p21, p12, p22;
p0.lon = point.lon;
p0.lat = point.lat;
p11.lon = floor(p0.lon);
p11.lat = floor(p0.lat);
p11.ati = demArr(long(p11.lat), long(p11.lon));
p12.lon = ceil(p0.lon);
p12.lat = floor(p0.lat);
p12.ati = demArr(long(p12.lat), long(p12.lon));
p21.lon = floor(p0.lon);
p21.lat = ceil(p0.lat);
p21.ati = demArr(long(p21.lat), long(p21.lon));
p22.lon = ceil(p0.lon);
p22.lat = ceil(p0.lat);
p22.ati = demArr(long(p22.lat), long(p22.lon));
p0.lon = p0.lon - p11.lon;
p0.lat = p0.lat - p11.lat;
p12.lon = p12.lon - p11.lon;
p12.lat = p12.lat - p11.lat;
p21.lon = p21.lon - p11.lon;
p21.lat = p21.lat - p11.lat;
p22.lon = p22.lon - p11.lon;
p22.lat = p22.lat - p11.lat;
p11.lon = p11.lon - p11.lon;
p11.lat = p11.lat - p11.lat;
p0.ati = Bilinear_interpolation(p0, p11, p21, p12, p22);
imgatiArr(i, j) = p0.ati;
}
}
outimgll.saveImage(imgatiArr, 0, 0, 3);
qDebug() << u8"计算每个点的斜距值";
gdalImage antimg(InEchoGPSDataPath);
qDebug() << u8"1. 回波GPS坐标点文件参数\t";
qDebug() << u8"文件路径:\t" << InEchoGPSDataPath;
qDebug() << u8"GPS 点数:\t" << antimg.height;
qDebug() << u8"文件列数:\t" << antimg.width;
long prfcount = antimg.height;
std::shared_ptr<double> Pxs((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> Pys((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> Pzs((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectX((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectY((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
std::shared_ptr<double> AntDirectZ((double*)mallocCUDAHost(sizeof(double) * prfcount), FreeCUDAHost);
{
long colnum = 19;
std::shared_ptr<double> antpos = readDataArr<double>(antimg, 0, 0, prfcount, colnum, 1, GDALREADARRCOPYMETHOD::VARIABLEMETHOD);
double time = 0;
double Px = 0;
double Py = 0;
double Pz = 0;
for (long i = 0; i < prfcount; i++) {
Pxs.get()[i] = antpos.get()[i * 19 + 1]; // 卫星坐标
Pys.get()[i] = antpos.get()[i * 19 + 2];
Pzs.get()[i] = antpos.get()[i * 19 + 3];
AntDirectX.get()[i] = antpos.get()[i * 19 + 13];// zero doppler
AntDirectY.get()[i] = antpos.get()[i * 19 + 14];
AntDirectZ.get()[i] = antpos.get()[i * 19 + 15];
double NormAnt = std::sqrt(AntDirectX.get()[i] * AntDirectX.get()[i] +
AntDirectY.get()[i] * AntDirectY.get()[i] +
AntDirectZ.get()[i] * AntDirectZ.get()[i]);
AntDirectX.get()[i] = AntDirectX.get()[i] / NormAnt;
AntDirectY.get()[i] = AntDirectY.get()[i] / NormAnt;
AntDirectZ.get()[i] = AntDirectZ.get()[i] / NormAnt;// 归一化
}
antpos.reset();
}
#pragma omp parallel for
for (long prfid = minRow; prfid < maxRow; prfid++) {
double Px = Pxs.get()[prfid];
double Py = Pys.get()[prfid];
double Pz = Pzs.get()[prfid];
double R = 0;
Landpoint LLA = {};
Point3 XYZ = {};
for (long j = 0; j < imgwidth; j++) {
LLA.lon = imglonArr(prfid-minRow, j);
LLA.lat = imglatArr(prfid - minRow, j);
LLA.ati = imgatiArr(prfid - minRow, j);
LLA2XYZ(LLA, XYZ);
R = sqrt(pow(Px - XYZ.x, 2) +
pow(Py - XYZ.y, 2) +
pow(Pz - XYZ.z, 2));
imgRArr(prfid - minRow, j) = R;
}
}
outimgll.saveImage(imgRArr, 0, 0, 4);
qDebug() << u8"插值完成";
}
int ReflectTable_WGS2Range(QString dem_rc_path,QString outOriSimTiffPath,QString ori_sim_count_tiffPath,long OriHeight,long OriWidth)
{
gdalImage sim_rc(dem_rc_path);
gdalImage sim_sar_img = CreategdalImage(outOriSimTiffPath, OriHeight, OriWidth, 2, sim_rc.gt, sim_rc.projection, false);// 注意这里保留仿真结果
for (int max_rows_ids = 0; max_rows_ids < OriHeight; max_rows_ids = max_rows_ids + 1000) {
Eigen::MatrixXd sim_sar = sim_sar_img.getData(max_rows_ids, 0, 1000, OriWidth, 1);
Eigen::MatrixXd sim_sarc = sim_sar_img.getData(max_rows_ids, 0, 1000, OriWidth, 2);
sim_sar = sim_sar.array() * 0 - 9999;
sim_sarc = sim_sar.array() * 0 - 9999;
sim_sar_img.saveImage(sim_sar, max_rows_ids, 0, 1);
sim_sar_img.saveImage(sim_sarc, max_rows_ids, 0, 2);
}
sim_sar_img.setNoDataValue(-9999, 1);
sim_sar_img.setNoDataValue(-9999, 2);
int conver_lines = 5000;
int line_invert = 4000;// 计算重叠率
int line_offset = 60;
// 逐区域迭代计算
omp_lock_t lock;
omp_init_lock(&lock); // 初始化互斥锁
int allCount = 0;
for (int max_rows_ids = 0; max_rows_ids < sim_rc.height; max_rows_ids = max_rows_ids + line_invert) {
Eigen::MatrixXd dem_r = sim_rc.getData(max_rows_ids, 0, conver_lines, sim_rc.width, 1);
Eigen::MatrixXd dem_c = sim_rc.getData(max_rows_ids, 0, conver_lines, sim_rc.width, 2);
int dem_rows_num = dem_r.rows();
int dem_cols_num = dem_r.cols();
// 更新插值经纬度
//Eigen::MatrixXd dem_lon = dem_r;
//Eigen::MatrixXd dem_lat = dem_c;
// 构建索引 更新经纬度并更新链
int temp_r, temp_c;
int min_row = dem_r.minCoeff() + 1;
int max_row = dem_r.maxCoeff() + 1;
if (max_row < 0) {
continue;
}
int len_rows = max_row - min_row;
min_row = min_row < 0 ? 0 : min_row;
Eigen::MatrixXd sar_r = sim_sar_img.getData(min_row, 0, len_rows, OriWidth, 1);
Eigen::MatrixXd sar_c = sim_sar_img.getData(min_row, 0, len_rows, OriWidth, 2);
len_rows = sar_r.rows();
#pragma omp parallel for num_threads(8) // NEW ADD
for (int i = 0; i < dem_rows_num - 1; i++) {
for (int j = 0; j < dem_cols_num - 1; j++) {
Point3 p, p1, p2, p3, p4;
Landpoint lp1, lp2, lp3, lp4;
lp1 = sim_rc.getLandPoint(i + max_rows_ids, j, 0);
lp2 = sim_rc.getLandPoint(i + max_rows_ids, j + 1, 0);
lp3 = sim_rc.getLandPoint(i + 1 + max_rows_ids, j + 1, 0);
lp4 = sim_rc.getLandPoint(i + 1 + max_rows_ids, j, 0);
p1 = { dem_r(i,j),dem_c(i,j) };
p2 = { dem_r(i,j + 1),dem_c(i,j + 1) };
p3 = { dem_r(i + 1,j + 1),dem_c(i + 1,j + 1) };
p4 = { dem_r(i + 1,j),dem_c(i + 1,j) };
//if (angle(i, j) >= 90 && angle(i, j + 1) >= 90 && angle(i + 1, j) >= 90 && angle(i + 1, j + 1) >= 90) {
// continue;
//}
double temp_min_r = dem_r.block(i, j, 2, 2).minCoeff();
double temp_max_r = dem_r.block(i, j, 2, 2).maxCoeff();
double temp_min_c = dem_c.block(i, j, 2, 2).minCoeff();
double temp_max_c = dem_c.block(i, j, 2, 2).maxCoeff();
if ((int(temp_min_r) != int(temp_max_r)) && (int(temp_min_c) != int(temp_max_c))) {
for (int ii = int(temp_min_r); ii <= temp_max_r + 1; ii++) {
for (int jj = int(temp_min_c); jj < temp_max_c + 1; jj++) {
if (ii < min_row || ii - min_row >= len_rows || jj < 0 || jj >= OriWidth) {
continue;
}
p = { double(ii),double(jj),0 };
//if (PtInRect(p, p1, p2, p3, p4)) {
p1.z = lp1.lon;
p2.z = lp2.lon;
p3.z = lp3.lon;
p4.z = lp4.lon;
p = invBilinear(p, p1, p2, p3, p4);
if (isnan(p.z)) {
continue;
}
if (p.x < 0) {
continue;
}
double mean = (p1.z + p2.z + p3.z + p4.z) / 4;
if (p.z > p1.z && p.z > p2.z && p.z > p3.z && p.z > p4.z) {
p.z = mean;
}
if (p.z < p1.z && p.z < p2.z && p.z < p3.z && p.z < p4.z) {
p.z = mean;
}
sar_r(ii - min_row, jj) = p.z;
p1.z = lp1.lat;
p2.z = lp2.lat;
p3.z = lp3.lat;
p4.z = lp4.lat;
p = invBilinear(p, p1, p2, p3, p4);
if (isnan(p.z)) {
continue;
}
if (p.x < 0) {
continue;
}
mean = (p1.z + p2.z + p3.z + p4.z) / 4;
if (p.z > p1.z && p.z > p2.z && p.z > p3.z && p.z > p4.z) {
p.z = mean;
}
if (p.z < p1.z && p.z < p2.z && p.z < p3.z && p.z < p4.z) {
p.z = mean;
}
sar_c(ii - min_row, jj) = p.z;
//}
}
}
}
}
}
omp_set_lock(&lock); //获得互斥器
sim_sar_img.saveImage(sar_r, min_row, 0, 1);
sim_sar_img.saveImage(sar_c, min_row, 0, 2);
allCount = allCount + conver_lines;
qDebug() << "rows:\t" << allCount << "/" << sim_rc.height << "\t computing.....\t" ;
omp_unset_lock(&lock); //释放互斥器
}
return 0;
}
int ResampleEChoDataFromGeoEcho(QString L2echodataPath, QString RangeLooktablePath, QString L1AEchoDataPath) {
gdalImageComplex echodata(L2echodataPath);
gdalImage looktable(RangeLooktablePath);
gdalImageComplex l1adata = CreategdalImageComplexNoProj(L1AEchoDataPath, looktable.height, looktable.width, 1, true);
Eigen::MatrixXd imglonArr = looktable.getData(0, 0, looktable.height, looktable.width, 1);
Eigen::MatrixXd imglatArr = looktable.getData(0, 0, looktable.height, looktable.width, 2);
Eigen::MatrixXcd echoArr = echodata.getDataComplex(0, 0, echodata.height, echodata.width, 1);
Eigen::MatrixXcd l1aArr= l1adata.getDataComplex(0, 0, l1adata.height, l1adata.width, 1);
l1aArr = l1aArr.array() * 0;
long imgheight = looktable.height;
long imgwidth = looktable.width;
for (long i = 0; i < imgheight; i++) {
printf("\rGEC: process:%f precent\t\t\t",i*100.0/imgheight);
for (long j = 0; j < imgwidth; j++) {
double lon = imglonArr(i, j);
double lat = imglatArr(i, j);
Landpoint point = echodata.getRow_Col(lon, lat);
if (point.lon<1 || point.lon>echodata.width - 2 || point.lat < 1 || point.lat >echodata.height - 2) {
continue;
}
else {}
// 实部插值
{
Landpoint p0, p11, p21, p12, p22;
p0.lon = point.lon;
p0.lat = point.lat;
p11.lon = floor(p0.lon);
p11.lat = floor(p0.lat);
p11.ati = echoArr(long(p11.lat), long(p11.lon)).real();
p12.lon = ceil(p0.lon);
p12.lat = floor(p0.lat);
p12.ati = echoArr(long(p12.lat), long(p12.lon)).real();
p21.lon = floor(p0.lon);
p21.lat = ceil(p0.lat);
p21.ati = echoArr(long(p21.lat), long(p21.lon)).real();
p22.lon = ceil(p0.lon);
p22.lat = ceil(p0.lat);
p22.ati = echoArr(long(p22.lat), long(p22.lon)).real();
p0.lon = p0.lon - p11.lon;
p0.lat = p0.lat - p11.lat;
p12.lon = p12.lon - p11.lon;
p12.lat = p12.lat - p11.lat;
p21.lon = p21.lon - p11.lon;
p21.lat = p21.lat - p11.lat;
p22.lon = p22.lon - p11.lon;
p22.lat = p22.lat - p11.lat;
p11.lon = p11.lon - p11.lon;
p11.lat = p11.lat - p11.lat;
p0.ati = Bilinear_interpolation(p0, p11, p21, p12, p22);
l1aArr(i, j).real(p0.ati);
}
//虚部插值
{
Landpoint p0, p11, p21, p12, p22;
p0.lon = point.lon;
p0.lat = point.lat;
p11.lon = floor(p0.lon);
p11.lat = floor(p0.lat);
p11.ati = echoArr(long(p11.lat), long(p11.lon)).imag();
p12.lon = ceil(p0.lon);
p12.lat = floor(p0.lat);
p12.ati = echoArr(long(p12.lat), long(p12.lon)).imag();
p21.lon = floor(p0.lon);
p21.lat = ceil(p0.lat);
p21.ati = echoArr(long(p21.lat), long(p21.lon)).imag();
p22.lon = ceil(p0.lon);
p22.lat = ceil(p0.lat);
p22.ati = echoArr(long(p22.lat), long(p22.lon)).imag();
p0.lon = p0.lon - p11.lon;
p0.lat = p0.lat - p11.lat;
p12.lon = p12.lon - p11.lon;
p12.lat = p12.lat - p11.lat;
p21.lon = p21.lon - p11.lon;
p21.lat = p21.lat - p11.lat;
p22.lon = p22.lon - p11.lon;
p22.lat = p22.lat - p11.lat;
p11.lon = p11.lon - p11.lon;
p11.lat = p11.lat - p11.lat;
p0.ati = Bilinear_interpolation(p0, p11, p21, p12, p22);
l1aArr(i, j).imag(p0.ati);
}
}
}
l1adata.saveImage(l1aArr, 0, 0, 1);
return 0;
}