修复因为 分块错误的 GPU计算错误
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696a3e5004
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44e485381b
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@ -11,7 +11,7 @@
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</rect>
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</property>
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<property name="windowTitle">
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<string>Custom Dialog</string>
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<string>RTPC回波仿真</string>
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</property>
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<layout class="QVBoxLayout" name="verticalLayout">
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<item>
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@ -90,7 +90,7 @@
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</size>
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</property>
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<property name="text">
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<string>D:/Programme/vs2022/RasterMergeTest/TestData/landcover_aligned.tiff</string>
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<string>D:/Programme/vs2022/RasterMergeTest/TestData/landcover_aligned2</string>
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</property>
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</widget>
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</item>
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@ -202,6 +202,7 @@ ErrorCode RTPCProcessCls::DEMPreprocess()
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double rowidx = 0;
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double colidx = 0;
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for (int max_rows_ids = 0; max_rows_ids < demds.height; max_rows_ids = max_rows_ids + line_invert) {
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Eigen::MatrixXd demdata = demds.getData(max_rows_ids, 0, line_invert, demds.width, 1);
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Eigen::MatrixXd xyzdata_x = demdata.array() * 0;
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@ -239,7 +240,7 @@ ErrorCode RTPCProcessCls::DEMPreprocess()
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line_invert = 1000;
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long start_ids = 0;
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long dem_rows = 0, dem_cols = 0;
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for (start_ids = 1; start_ids < demds.height; start_ids = start_ids + line_invert) {
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Eigen::MatrixXd demdata = demds.getData(start_ids - 1, 0, line_invert + 2, demxyz.width, 1);
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long startlineid = start_ids;
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@ -437,6 +438,7 @@ ErrorCode RTPCProcessCls::RTPCMainProcess(long num_thread)
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float* h_TantPattern = (float*)mallocCUDAHost(sizeof(float) * Tthetanum * Tphinum);
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float* d_TantPattern = (float*)mallocCUDADevice(sizeof(float) * Tthetanum * Tphinum);
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for (long i = 0; i < Tthetanum; i++) {
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for (long j = 0; j < Tphinum; j++) {
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h_TantPattern[i*Tphinum+j] = TransformPattern->getGainLearThetaPhi(TstartTheta + i * Tdtheta, TstartPhi + j * Tdphi);
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@ -461,6 +463,7 @@ ErrorCode RTPCProcessCls::RTPCMainProcess(long num_thread)
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float* h_RantPattern = (float*)mallocCUDAHost(sizeof(float) * Rthetanum * Rphinum);
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float* d_RantPattern = (float*)mallocCUDADevice(sizeof(float) * Rthetanum * Rphinum);
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for (long i = 0; i < Rthetanum; i++) {
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for (long j = 0; j < Rphinum; j++) {
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h_RantPattern[i * Rphinum + j] = ReceivePattern->getGainLearThetaPhi(RstartTheta + i * Rdtheta, RstartPhi + j * Rdphi);
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@ -540,8 +543,8 @@ ErrorCode RTPCProcessCls::RTPCMainProcess(long num_thread)
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cuComplex* h_echoAmp = (cuComplex*)mallocCUDAHost(sizeof(cuComplex) * blokline * tempDemCols);
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cuComplex* d_echoAmp = (cuComplex*)mallocCUDADevice(sizeof(cuComplex) * blokline * tempDemCols);
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long* h_echoAmpFID = (long*)mallocCUDAHost(sizeof(long) * blokline * tempDemCols);
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long* d_echoAmpFID = (long*)mallocCUDADevice(sizeof(long) * blokline * tempDemCols);
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int* h_echoAmpFID = (int*)mallocCUDAHost(sizeof(int) * blokline * tempDemCols);
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int* d_echoAmpFID = (int*)mallocCUDADevice(sizeof(int) * blokline * tempDemCols);
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Eigen::MatrixXd landcover= Eigen::MatrixXd::Zero(blokline, tempDemCols);// 地面覆盖类型
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@ -595,8 +598,8 @@ ErrorCode RTPCProcessCls::RTPCMainProcess(long num_thread)
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h_echoAmp = (cuComplex*)mallocCUDAHost(sizeof(cuComplex) * newblokline * tempDemCols);;
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d_echoAmp = (cuComplex*)mallocCUDADevice(sizeof(cuComplex) * newblokline * tempDemCols);;
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h_echoAmpFID = (long*)mallocCUDAHost(sizeof(long) * newblokline * tempDemCols);
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d_echoAmpFID = (long*)mallocCUDADevice(sizeof(long) * newblokline * tempDemCols);
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h_echoAmpFID = (int*)mallocCUDAHost(sizeof(int) * newblokline * tempDemCols);
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d_echoAmpFID = (int*)mallocCUDADevice(sizeof(int) * newblokline * tempDemCols);
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}
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{ // 处理 dem -> 数量
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@ -641,58 +644,84 @@ ErrorCode RTPCProcessCls::RTPCMainProcess(long num_thread)
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HostToDevice((void*)h_demsloper_angle, (void*)d_demsloper_angle, sizeof(float) * newblokline * tempDemCols);
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HostToDevice((void*)h_demcls, (void*)d_demcls, sizeof(float) * newblokline * tempDemCols);//地表覆盖
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long pixelcount = newblokline * tempDemCols;
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// 临时文件声明
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float antpx =0;
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float antpy =0;
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float antpz =0;
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float antvx =0;
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float antvy =0;
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float antvz =0;
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float antdirectx =0;
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float antdirecty =0;
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float antdirectz =0;
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float antXaxisX =0;
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float antXaxisY =0;
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float antXaxisZ =0;
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float antYaxisX =0;
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float antYaxisY =0;
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float antYaxisZ =0;
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float antZaxisX =0;
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float antZaxisY =0;
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float antZaxisZ = 0;
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int pixelcount = newblokline * tempDemCols;
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std::cout << " GPU Memory init finished!!!!" << std::endl;
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for (long prfid = 0; prfid < pluseCount; prfid++) {
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{// 计算
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std::cout << "\r[" << QDateTime::currentDateTime().toString("yyyy-MM-dd hh:mm:ss.zzz").toStdString() << "] dem:\t" << startline << "\t-\t" << startline + newblokline << "\t:\t pluse :\t" << prfid << " / " << pluseCount << std::endl;
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// 天线位置
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float antpx = sateOirbtNodes[prfid].Px;
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float antpy = sateOirbtNodes[prfid].Py;
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float antpz = sateOirbtNodes[prfid].Pz;
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float antvx = sateOirbtNodes[prfid].Vx;
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float antvy = sateOirbtNodes[prfid].Vy;
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float antvz = sateOirbtNodes[prfid].Vz; //6
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float antdirectx = sateOirbtNodes[prfid].AntDirecX;
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float antdirecty = sateOirbtNodes[prfid].AntDirecY;
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float antdirectz = sateOirbtNodes[prfid].AntDirecZ; // 9 天线指向
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float antXaxisX = sateOirbtNodes[prfid].AntXaxisX;
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float antXaxisY = sateOirbtNodes[prfid].AntXaxisY;
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float antXaxisZ = sateOirbtNodes[prfid].AntXaxisZ;//12 天线坐标系
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float antYaxisX = sateOirbtNodes[prfid].AntYaxisX;
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float antYaxisY = sateOirbtNodes[prfid].AntYaxisY;
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float antYaxisZ = sateOirbtNodes[prfid].AntYaxisZ;//15
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float antZaxisX = sateOirbtNodes[prfid].AntZaxisX;
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float antZaxisY = sateOirbtNodes[prfid].AntZaxisY;
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float antZaxisZ = sateOirbtNodes[prfid].AntZaxisZ;//18
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antpx = sateOirbtNodes[prfid].Px;
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antpy = sateOirbtNodes[prfid].Py;
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antpz = sateOirbtNodes[prfid].Pz;
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antvx = sateOirbtNodes[prfid].Vx;
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antvy = sateOirbtNodes[prfid].Vy;
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antvz = sateOirbtNodes[prfid].Vz; //6
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antdirectx = sateOirbtNodes[prfid].AntDirecX;
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antdirecty = sateOirbtNodes[prfid].AntDirecY;
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antdirectz = sateOirbtNodes[prfid].AntDirecZ; // 9 天线指向
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antXaxisX = sateOirbtNodes[prfid].AntXaxisX;
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antXaxisY = sateOirbtNodes[prfid].AntXaxisY;
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antXaxisZ = sateOirbtNodes[prfid].AntXaxisZ;//12 天线坐标系
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antYaxisX = sateOirbtNodes[prfid].AntYaxisX;
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antYaxisY = sateOirbtNodes[prfid].AntYaxisY;
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antYaxisZ = sateOirbtNodes[prfid].AntYaxisZ;//15
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antZaxisX = sateOirbtNodes[prfid].AntZaxisX;
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antZaxisY = sateOirbtNodes[prfid].AntZaxisY;
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antZaxisZ = sateOirbtNodes[prfid].AntZaxisZ;//18
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//CUDATestHelloWorld(1, 20);
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std::cout << "\r[" << QDateTime::currentDateTime().toString("yyyy-MM-dd hh:mm:ss.zzz").toStdString() << "] GPU :\t" << std::endl;
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CUDA_RTPC_SiglePRF(
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antpx, antpy, antpz,// 天线坐标
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antXaxisX, antXaxisY, antXaxisZ, // 天线坐标系
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antYaxisX, antYaxisY, antYaxisZ, //
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antZaxisX, antZaxisY, antZaxisZ,
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antdirectx, antdirecty, antdirectz,// 天线指向
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d_dem_x, d_dem_y, d_dem_z, d_demcls, // 地面坐标
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d_dem_x, d_dem_y, d_dem_z,
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d_demcls, // 地面坐标
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d_demsloper_x, d_demsloper_y, d_demsloper_z, d_demsloper_angle,// 地面坡度
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d_TantPattern, TstartTheta,TstartPhi, Tdtheta, Tdphi, Tthetanum, Tphinum,// 天线方向图相关
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d_RantPattern, RstartTheta, RstartPhi, Rdtheta, Rdphi, Rthetanum,Rphinum,// 天线方向图相关
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lamda, Fs, NearRange, Pt, PlusePoint, // 参数
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d_clsSigmaParam, clamapid,// 地表覆盖类型-sigma插值对应函数-ulaby
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d_echoAmp, d_echoAmpFID,
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pixelcount
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);
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newblokline,tempDemCols);
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DeviceToHost(h_echoAmpFID, d_echoAmpFID, sizeof(long)* newblokline* tempDemCols);
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DeviceToHost(h_echoAmp, d_echoAmp, sizeof(long)* newblokline* tempDemCols);
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std::cout << "\r[" << QDateTime::currentDateTime().toString("yyyy-MM-dd hh:mm:ss.zzz").toStdString() << "] GPU SIGMA:\t" << std::endl;
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for (long i = 0; i < pixelcount; i++) {
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echo.get()[prfid*PlusePoint+ h_echoAmpFID[i]] =std::complex<double>(h_echoAmp[i].x, h_echoAmp[i].y);
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echo.get()[prfid*PlusePoint+ h_echoAmpFID[i]] = echo.get()[prfid * PlusePoint + h_echoAmpFID[i]]
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+std::complex<double>(h_echoAmp[i].x, h_echoAmp[i].y);
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}
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//for (long i = 0; i < PlusePoint; i++) {
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// std::cout << echo.get()[prfid * PlusePoint + i] << std::endl;
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//}
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if (prfid % 100 == 0) {
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std::cout << "\r[" << QDateTime::currentDateTime().toString("yyyy-MM-dd hh:mm:ss.zzz").toStdString() << "] dem:\t" << startline << "\t-\t" << startline + newblokline << "\t:\t pluse :\t" << prfid << " / " << pluseCount << std::endl;
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}
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}
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}
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@ -23,6 +23,12 @@ SigmaDatabase::SigmaDatabase()
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this->VH_sigmaParam.clear();
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this->VV_sigmaParam.clear();
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//0
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this->HH_sigmaParam.insert(std::pair<long, SigmaParam>(0, SigmaParam{ 0,0,0, 0, 0,0 }));
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this->HV_sigmaParam.insert(std::pair<long, SigmaParam>(0, SigmaParam{ 0,0,0, 0, 0,0 }));
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this->VH_sigmaParam.insert(std::pair<long, SigmaParam>(0, SigmaParam{ 0,0,0, 0, 0,0 }));
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this->VV_sigmaParam.insert(std::pair<long, SigmaParam>(0, SigmaParam{ 0,0,0, 0, 0,0 }));
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//12
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this->HH_sigmaParam.insert(std::pair<long, SigmaParam>(12, SigmaParam{ -21.1019701821713, 9.00621457243906, 6.52932182540331, - 1.11157376729893, - 15.8022895411007, 11.4690828129602 }));
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this->HV_sigmaParam.insert(std::pair<long, SigmaParam>(12, SigmaParam{ -30.0103645753547, 27.1700862271921, 11.8007376386356, - 0.933835390422269, - 16.4640776105300, 11.8318838032267 }));
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@ -70,10 +76,6 @@ SigmaDatabase::SigmaDatabase()
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this->HV_sigmaParam.insert(std::pair<long, SigmaParam>(90, SigmaParam{ -26.8776515733889, 10.4251866500052, 8.43273666535992, 4.33165922141213, 8.68204389555939, - 2.51718779582920 }));
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this->VH_sigmaParam.insert(std::pair<long, SigmaParam>(90, SigmaParam{ -26.8776515733889, 10.4251866500052, 8.43273666535992, 4.33165922141213, 8.68204389555939, - 2.51718779582920 }));
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this->VV_sigmaParam.insert(std::pair<long, SigmaParam>(90, SigmaParam{ -20.1761798059391, 13.2752519275021, 2.74667225608397, 3.63052241744923, 8.99932188120922, 34.8246533269446 }));
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}
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SigmaDatabase::~SigmaDatabase()
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@ -82,7 +84,6 @@ SigmaDatabase::~SigmaDatabase()
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this->HV_sigmaParam.clear();
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this->VH_sigmaParam.clear();
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this->VV_sigmaParam.clear();
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}
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double SigmaDatabase::getAmpHH(long cls, double angle)
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