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RasterProcessTool
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修正了成像检索问题

pull/10/head
陈增辉 2025-04-02 16:47:01 +08:00
parent 934a39cbff
commit 3c1fd3a91a
4 changed files with 45 additions and 69 deletions
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2
GPUBaseLib/GPUTool/GPUTool.cuh
View File

@ -21,7 +21,7 @@
#define BLOCK_SIZE 256
#define SHAREMEMORY_BYTE 49152
#define SHAREMEMORY_FLOAT_HALF_STEP 2
#define SHAREMEMORY_FLOAT_HALF SHAREMEMORY_FLOAT_HALF_STEP*BLOCK_SIZE
#define SHAREMEMORY_FLOAT_HALF 512
#define SHAREMEMORY_DEM_STEP 768
#define SHAREMEMORY_Reflect 612

93
Toolbox/SimulationSARTool/SimulationSAR/GPURFPC.cu
View File

@ -490,16 +490,14 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
double maxGain, double GainWeight,
float* d_temp_R, float* d_temp_amps// 计算输出
) {
long long tid = threadIdx.x;
long long bid = blockIdx.x;
long long dmx = blockDim.x;
long long idx = bid*dmx+tid; // 获取当前的线程编码
long long prfId = idx / SHAREMEMORY_FLOAT_HALF;
long long posId = idx % SHAREMEMORY_FLOAT_HALF + startPosId; // 当前线程对应的影像点
//if (prfId > 20000) {
// printf("prfid %d,PRFCount : %d\n", prfId, PRFCount);
//}
int tid = threadIdx.x;
int bid = blockIdx.x;
int dmx = blockDim.x;
int idx = bid*dmx+tid; // 获取当前的线程编码
int prfId = idx / SHAREMEMORY_FLOAT_HALF;
int posId = idx % SHAREMEMORY_FLOAT_HALF + startPosId; // 当前线程对应的影像点
//d_temp_R[idx] = pixelcount;
//d_temp_amps[idx] = posId;
if (prfId < PRFCount && posId < pixelcount) {
SateState antp = antlist[prfId];
@ -510,7 +508,7 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
double RstR = sqrt(RstX * RstX + RstY * RstY + RstZ * RstZ); // 矢量距离
if (RstR<NearR || RstR>FarR) {
d_temp_R[idx] = RstR;
d_temp_R[idx] = 0;
d_temp_amps[idx] = 0;
return;
}
@ -530,8 +528,8 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
float localangle = acosf(dotAB / (slopR));
if (localangle < 0 || localangle >= LAMP_CUDA_PI / 2 || isnan(localangle)) {
d_temp_R[idx] = RstR;
d_temp_amps[idx] = localangle;
d_temp_R[idx] = 0;
d_temp_amps[idx] = 0;
return;
}
else {}
@ -562,41 +560,24 @@ __global__ void Kernel_Computer_R_amp_NoAntPattern(
sigma = powf(10.0, sigma / 10.0);
float temp_amp = float(ampGain * Pt * sigma);
float temp_R = float(RstR - refPhaseRange);
double temp_R = RstR - refPhaseRange;
if (isnan(temp_amp) || isnan(temp_R) || isinf(temp_amp) || isinf(temp_R)) {
d_temp_R[idx] = 0;
d_temp_amps[idx] = 0;
return;
}
else {
d_temp_amps[idx] = temp_amp ;
d_temp_R[idx] = temp_R ;
//if (prfId > 200) {
// printf("idx:%lld , prfid:%lld , d_temp_amp=%e,d_temp_R=%e\n", idx, prfId,d_temp_amps[idx], d_temp_R[idx]);
//}
//return;
d_temp_amps[idx] = temp_amp;
d_temp_R[idx] =static_cast<float>(temp_R);
return;
}
//if (isnan(temp_amp) || isnan(temp_R) || isinf(temp_amp) || isinf(temp_R)) {
// printf("amp is nan or R is nan,amp=%f;R=%f; \n", temp_amp, temp_R);
// d_temp_R[idx] = 0;
// d_temp_amps[idx] = 0;
// return;
//}
//else {
// if (prfId > 200) {
// printf("error prfId:%ld RstR:%e antP=[%e,%e,%e] ,gp=[%e,%e,%e],temp_amp=%e,temp_R=%e\n", prfId, RstR,
// antp.Px, antp.Py, antp.Pz, gp.Tx, gp.Ty, gp.Tz,
// temp_amp, temp_R);
// }
// d_temp_amps[idx] = temp_amp;
// d_temp_R[idx] = temp_R;
// return;
//}
}
}
}
else {
d_temp_R[idx] = 0;
d_temp_amps[idx] = 0;
d_temp_amps[idx] =0;
return;
}
@ -612,24 +593,20 @@ __global__ void CUDA_Kernel_Computer_echo_NoAntPattern(
__shared__ float s_R[SHAREMEMORY_FLOAT_HALF]; // 注意一个完整的block_size 共享相同内存
__shared__ float s_amp[SHAREMEMORY_FLOAT_HALF];
long long tid = threadIdx.x;
long long bid = blockIdx.x;
long long idx = bid * blockDim.x + tid;
long long prfId = idx / nextfreqNum; // 脉冲ID
long long fId = idx % nextfreqNum;//频率ID
long tid = threadIdx.x;
long bid = blockIdx.x;
long idx = bid * blockDim.x + tid;
long prfId = idx / nextfreqNum; // 脉冲ID
long fId = idx % nextfreqNum;//频率ID
long long psid = 0;
long long pixelId = 0;
long psid = 0;
long pixelId = 0;
for (long ii = 0; ii < SHAREMEMORY_FLOAT_HALF_STEP; ii++) { // SHAREMEMORY_FLOAT_HALF_STEP * BLOCK_SIZE=SHAREMEMORY_FLOAT_HALF
psid = ii * BLOCK_SIZE + tid;
pixelId = prfId * SHAREMEMORY_FLOAT_HALF + psid;
s_R[psid] = d_temp_R[pixelId];
s_amp[psid] = d_temp_amps[pixelId];
if (prfId > 200) {
printf(" s_R=%e S_amp=%e d_temp_R=%e d_temp_amps=%e idx=%lld prfid=%lld\n", s_R[psid], s_amp[psid],
d_temp_R[pixelId], d_temp_amps[pixelId], idx, prfId
);
}
}
__syncthreads(); // 确定所有待处理数据都已经进入程序中
@ -656,11 +633,11 @@ __global__ void CUDA_Kernel_Computer_echo_NoAntPattern(
//if (dataid > 5000) {
// printf("echo_ID=%d; dataid=%d;ehodata=(%f,%f);R=%f;amp=%f;\n", echo_ID, dataid, temp_real, temp_imag, s_R[0], s_amp[0]);
//}
if (isnan(temp_phi) || isnan(temp_amp) || isnan(echo.x) || isnan(echo.y)
|| isinf(temp_phi) || isinf(temp_amp) || isinf(echo.x) || isinf(echo.y)
) {
printf("[amp,phi,real,imag]=[%f,%f,%f,%f];\n", temp_amp, temp_phi, echo.x, echo.y);
}
//if (isnan(temp_phi) || isnan(temp_amp) || isnan(echo.x) || isnan(echo.y)
// || isinf(temp_phi) || isinf(temp_amp) || isinf(echo.x) || isinf(echo.y)
// ) {
// printf("[amp,phi,real,imag]=[%f,%f,%f,%f];\n", temp_amp, temp_phi, echo.x, echo.y);
//}
}
@ -710,9 +687,9 @@ extern "C" void ProcessRFPCTask(RFPCTask& task, long devid, float* h_R, float* h
PrintLasterError("CUDA_Kernel_Computer_R_amp");
cudaDeviceSynchronize();
DeviceToHost(h_R, d_R, task.prfNum * SHAREMEMORY_FLOAT_HALF * sizeof(float));
DeviceToHost(h_amp, d_amps, task.prfNum * SHAREMEMORY_FLOAT_HALF * sizeof(float));
break;
//DeviceToHost(h_R, d_R, task.prfNum * SHAREMEMORY_FLOAT_HALF * sizeof(float));
//DeviceToHost(h_amp, d_amps, task.prfNum * SHAREMEMORY_FLOAT_HALF * sizeof(float));
//break;
cudaBlocknum = (task.prfNum * BLOCK_FREQNUM + BLOCK_SIZE- 1) / BLOCK_SIZE;
CUDA_Kernel_Computer_echo_NoAntPattern << <cudaBlocknum, BLOCK_SIZE >> > (

6
Toolbox/SimulationSARTool/SimulationSAR/QImageSARRFPC.ui
View File

@ -103,7 +103,7 @@
</size>
</property>
<property name="text">
<string>D:/FZSimulation/LTDQ/Input/testEcho/LandCover.dat</string>
<string>D:/FZSimulation/LTDQ/Input/DEM30/LandCover.dat</string>
</property>
</widget>
</item>
@ -233,7 +233,7 @@
</size>
</property>
<property name="text">
<string>D:/FZSimulation/LTDQ/Input/testEcho/DEMXYZ.dat</string>
<string>D:/FZSimulation/LTDQ/Input/DEM30/DEM_XYZ.dat</string>
</property>
</widget>
</item>
@ -350,7 +350,7 @@
</size>
</property>
<property name="text">
<string>D:/FZSimulation/LTDQ/Input/testEcho/DEMSloper.dat</string>
<string>D:/FZSimulation/LTDQ/Input/DEM30/DEM_Sloper.dat</string>
</property>
</widget>
</item>

13
Toolbox/SimulationSARTool/SimulationSAR/RFPCProcessCls.cpp
View File

@ -1119,7 +1119,7 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU_NoAntPattern(size_t startprfid, si
h_antlist.get()[0].Vx, h_antlist.get()[0].Vy, h_antlist.get()[0].Vz,
h_antlist.get()[0].antDirectX, h_antlist.get()[0].antDirectY, h_antlist.get()[0].antDirectZ
);
testOutAmpArr(QString("antlist_%1.dat").arg(devId), (double*)(h_antlist.get()), prfcount, 9);
//testOutAmpArr(QString("antlist_%1.dat").arg(devId), (double*)(h_antlist.get()), prfcount, 9);
}
@ -1136,13 +1136,11 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU_NoAntPattern(size_t startprfid, si
task.targetnum = clscount;
task.goallist = (GoalState*)mallocCUDADevice(clscount * sizeof(GoalState), devId);
HostToDevice(clsGoalStateDict[clsid].get(), task.goallist, sizeof(GoalState) * clscount);
ProcessRFPCTask(task, devId, h_R, h_amp);
testOutDataArr(QString("h_R_%1.bin").arg(devId), h_R, prfcount, SHAREMEMORY_FLOAT_HALF);
exit(-1);
//testOutDataArr(QString("h_R_%1.bin").arg(devId), h_R, prfcount, SHAREMEMORY_FLOAT_HALF);
//testOutDataArr(QString("h_amp_%1.bin").arg(devId), h_amp, prfcount, SHAREMEMORY_FLOAT_HALF);
//exit(-1);
FreeCUDADevice(task.goallist);
}
@ -1153,7 +1151,8 @@ ErrorCode RFPCProcessCls::RFPCMainProcess_GPU_NoAntPattern(size_t startprfid, si
FreeCUDADevice(task.d_echoData);
FreeCUDADevice(task.antlist);
//FreeCUDADevice(task.goallist);
FreeCUDAHost(h_R);
FreeCUDAHost(h_amp);
}
PRINT("dem cover processbar: [100 precent]\n");