23 #include "base/Optionpk.h"
24 #include "algorithms/StatFactory.h"
25 #include "algorithms/ImgRegression.h"
80 int main(
int argc,
char *argv[])
84 Optionpk<bool> filename_opt(
"f",
"filename",
"Shows image filename ",
false);
85 Optionpk<bool> stat_opt(
"stats",
"statistics",
"Shows basic statistics (calculate in memory) (min,max, mean and stdDev of the raster datasets)",
false);
86 Optionpk<bool> fstat_opt(
"fstats",
"fstatistics",
"Shows basic statistics using GDAL computeStatistics (min,max, mean and stdDev of the raster datasets)",
false);
92 Optionpk<short> down_opt(
"down",
"down",
"Down sampling factor (for raster sample datasets only). Can be used to create grid points", 1);
94 Optionpk<double> scale_opt(
"scale",
"scale",
"Scale(s) for reading input image(s)");
95 Optionpk<double> offset_opt(
"offset",
"offset",
"Offset(s) for reading input image(s)");
102 Optionpk<bool> median_opt(
"median",
"median",
"calculate median",
false);
104 Optionpk<bool> skewness_opt(
"skew",
"skewness",
"calculate skewness",
false);
105 Optionpk<bool> kurtosis_opt(
"kurt",
"kurtosis",
"calculate kurtosis",
false);
106 Optionpk<bool> stdev_opt(
"stdev",
"stdev",
"calculate standard deviation",
false);
107 Optionpk<bool> sum_opt(
"sum",
"sum",
"calculate sum of column",
false);
108 Optionpk<bool> minmax_opt(
"mm",
"minmax",
"calculate minimum and maximum value",
false);
109 Optionpk<bool> min_opt(
"min",
"min",
"calculate minimum value",
false);
110 Optionpk<bool> max_opt(
"max",
"max",
"calculate maximum value",
false);
111 Optionpk<double> src_min_opt(
"src_min",
"src_min",
"start reading source from this minimum value");
112 Optionpk<double> src_max_opt(
"src_max",
"src_max",
"stop reading source from this maximum value");
113 Optionpk<bool> histogram_opt(
"hist",
"hist",
"calculate histogram",
false);
114 Optionpk<bool> histogram2d_opt(
"hist2d",
"hist2d",
"calculate 2-dimensional histogram based on two images",
false);
115 Optionpk<short> nbin_opt(
"nbin",
"nbin",
"number of bins to calculate histogram");
116 Optionpk<bool> relative_opt(
"rel",
"relative",
"use percentiles for histogram to calculate histogram",
false);
117 Optionpk<bool> kde_opt(
"kde",
"kde",
"Use Kernel density estimation when producing histogram. The standard deviation is estimated based on Silverman's rule of thumb",
false);
118 Optionpk<bool> rmse_opt(
"rmse",
"rmse",
"calculate root mean square error between two raster datasets",
false);
119 Optionpk<bool> reg_opt(
"reg",
"regression",
"calculate linear regression between two raster datasets and get correlation coefficient",
false);
120 Optionpk<bool> regerr_opt(
"regerr",
"regerr",
"calculate linear regression between two raster datasets and get root mean square error",
false);
121 Optionpk<bool> preg_opt(
"preg",
"preg",
"calculate perpendicular regression between two raster datasets and get correlation coefficient",
false);
122 Optionpk<short> verbose_opt(
"v",
"verbose",
"verbose mode when positive", 0,2);
123 fstat_opt.setHide(1);
129 random_opt.setHide(1);
130 scale_opt.setHide(1);
131 offset_opt.setHide(1);
132 src_min_opt.setHide(1);
133 src_max_opt.setHide(1);
142 doProcess=input_opt.retrieveOption(argc,argv);
144 band_opt.retrieveOption(argc,argv);
145 filename_opt.retrieveOption(argc,argv);
146 stat_opt.retrieveOption(argc,argv);
147 fstat_opt.retrieveOption(argc,argv);
148 nodata_opt.retrieveOption(argc,argv);
149 mean_opt.retrieveOption(argc,argv);
150 median_opt.retrieveOption(argc,argv);
151 var_opt.retrieveOption(argc,argv);
152 stdev_opt.retrieveOption(argc,argv);
153 minmax_opt.retrieveOption(argc,argv);
154 min_opt.retrieveOption(argc,argv);
155 max_opt.retrieveOption(argc,argv);
156 histogram_opt.retrieveOption(argc,argv);
157 nbin_opt.retrieveOption(argc,argv);
158 relative_opt.retrieveOption(argc,argv);
159 histogram2d_opt.retrieveOption(argc,argv);
160 rmse_opt.retrieveOption(argc,argv);
161 reg_opt.retrieveOption(argc,argv);
162 regerr_opt.retrieveOption(argc,argv);
163 preg_opt.retrieveOption(argc,argv);
165 ulx_opt.retrieveOption(argc,argv);
166 uly_opt.retrieveOption(argc,argv);
167 lrx_opt.retrieveOption(argc,argv);
168 lry_opt.retrieveOption(argc,argv);
169 down_opt.retrieveOption(argc,argv);
170 random_opt.retrieveOption(argc,argv);
171 scale_opt.retrieveOption(argc,argv);
172 offset_opt.retrieveOption(argc,argv);
173 src_min_opt.retrieveOption(argc,argv);
174 src_max_opt.retrieveOption(argc,argv);
175 kde_opt.retrieveOption(argc,argv);
176 verbose_opt.retrieveOption(argc,argv);
178 catch(
string predefinedString){
179 std::cout << predefinedString << std::endl;
184 cout <<
"Usage: pkstat -i input" << endl;
186 std::cout <<
"short option -h shows basic options only, use long option --help to show all options" << std::endl;
190 if(src_min_opt.size()){
191 while(src_min_opt.size()<band_opt.size())
192 src_min_opt.push_back(src_min_opt[0]);
194 if(src_max_opt.size()){
195 while(src_max_opt.size()<band_opt.size())
196 src_max_opt.push_back(src_max_opt[0]);
204 double minValue=(src_min_opt.size())? src_min_opt[0] : 0;
205 double maxValue=(src_max_opt.size())? src_max_opt[0] : 0;
207 double medianValue=0;
210 const char* pszMessage;
211 void* pProgressArg=NULL;
212 GDALProgressFunc pfnProgress=GDALTermProgress;
218 std::vector<double> histogramOutput;
223 if(scale_opt.size()){
224 while(scale_opt.size()<input_opt.size())
225 scale_opt.push_back(scale_opt[0]);
227 if(offset_opt.size()){
228 while(offset_opt.size()<input_opt.size())
229 offset_opt.push_back(offset_opt[0]);
231 if(input_opt.empty()){
232 std::cerr <<
"No image dataset provided (use option -i). Use --help for help information";
235 for(
int ifile=0;ifile<input_opt.size();++ifile){
237 imgReader.open(input_opt[ifile]);
239 catch(std::string errorstring){
240 std::cout << errorstring << std::endl;
245 std::cout <<
" --input " << input_opt[ifile] <<
" ";
247 for(
int inodata=0;inodata<nodata_opt.size();++inodata)
248 imgReader.pushNoDataValue(nodata_opt[inodata]);
250 int nband=band_opt.size();
251 for(
int iband=0;iband<nband;++iband){
253 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
255 imgReader.GDALSetNoDataValue(nodata_opt[0],band_opt[iband]);
258 if(offset_opt.size()>ifile)
259 imgReader.setOffset(offset_opt[ifile],band_opt[iband]);
260 if(scale_opt.size()>ifile)
261 imgReader.setScale(scale_opt[ifile],band_opt[iband]);
263 if(stat_opt[0]||mean_opt[0]||median_opt[0]||var_opt[0]||stdev_opt[0]){
265 vector<double> readBuffer;
267 imgReader.readDataBlock(readBuffer, GDT_Float64, 0, imgReader.nrOfCol()-1, 0, imgReader.nrOfRow()-1, band_opt[0]);
268 stat.setNoDataValues(nodata_opt);
269 stat.meanVar(readBuffer,meanValue,varValue);
270 medianValue=stat.median(readBuffer);
271 stat.minmax(readBuffer,readBuffer.begin(),readBuffer.end(),minValue,maxValue);
273 std::cout <<
"--mean " << meanValue <<
" ";
275 std::cout <<
"--median " << medianValue <<
" ";
277 std::cout <<
"--stdDev " << sqrt(varValue) <<
" ";
279 std::cout <<
"--var " << varValue <<
" ";
281 std::cout <<
"-min " << minValue <<
" -max " << maxValue <<
" --mean " << meanValue <<
" --stdDev " << sqrt(varValue) <<
" ";
285 assert(band_opt[iband]<imgReader.nrOfBand());
286 GDALProgressFunc pfnProgress;
288 GDALRasterBand* rasterBand;
289 rasterBand=imgReader.getRasterBand(band_opt[iband]);
290 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev,pfnProgress,pProgressData);
292 std::cout <<
"-min " << minValue <<
" -max " << maxValue <<
" --mean " << meanValue <<
" --stdDev " << stdDev <<
" ";
295 if(minmax_opt[0]||min_opt[0]||max_opt[0]){
296 assert(band_opt[iband]<imgReader.nrOfBand());
298 if((ulx_opt.size()||uly_opt.size()||lrx_opt.size()||lry_opt.size())&&(imgReader.covers(ulx_opt[0],uly_opt[0],lrx_opt[0],lry_opt[0]))){
299 double uli,ulj,lri,lrj;
300 imgReader.geo2image(ulx_opt[0],uly_opt[0],uli,ulj);
301 imgReader.geo2image(lrx_opt[0],lry_opt[0],lri,lrj);
302 imgReader.getMinMax(static_cast<int>(uli),static_cast<int>(lri),static_cast<int>(ulj),static_cast<int>(lrj),band_opt[iband],minValue,maxValue);
305 imgReader.getMinMax(minValue,maxValue,band_opt[iband]);
308 std::cout <<
"-min " << minValue <<
" -max " << maxValue <<
" ";
311 std::cout <<
"-min " << minValue <<
" ";
313 std::cout <<
"-max " << maxValue <<
" ";
317 if(histogram_opt[0]){
318 assert(band_opt[0]<imgReader.nrOfBand());
319 nbin=(nbin_opt.size())? nbin_opt[0]:0;
321 imgReader.getMinMax(minValue,maxValue,band_opt[0]);
322 if(src_min_opt.size())
323 minValue=src_min_opt[0];
324 if(src_max_opt.size())
325 maxValue=src_max_opt[0];
326 if(minValue>=maxValue)
327 imgReader.getMinMax(minValue,maxValue,band_opt[0]);
330 cout <<
"number of valid pixels in image: " << imgReader.getNvalid(band_opt[0]) << endl;
332 nsample+=imgReader.getHistogram(histogramOutput,minValue,maxValue,nbin,band_opt[0],kde_opt[0]);
335 if(ifile==input_opt.size()-1){
336 std::cout.precision(10);
337 for(
int bin=0;bin<nbin;++bin){
339 if(nbin==maxValue-minValue+1)
340 binValue=minValue+bin;
342 binValue=minValue+
static_cast<double>(maxValue-minValue)*(bin+0.5)/nbin;
343 std::cout << binValue <<
" ";
344 if(relative_opt[0]||kde_opt[0])
345 std::cout << 100.0*
static_cast<double>(histogramOutput[bin])/static_cast<double>(nsample) << std::endl;
347 std::cout << static_cast<double>(histogramOutput[bin]) << std::endl;
351 if(histogram2d_opt[0]&&input_opt.size()<2){
352 assert(band_opt.size()>1);
353 imgReader.getMinMax(minX,maxX,band_opt[0]);
354 imgReader.getMinMax(minY,maxY,band_opt[1]);
355 if(src_min_opt.size()){
359 if(src_max_opt.size()){
363 nbin=(nbin_opt.size())? nbin_opt[0]:0;
365 std::cerr <<
"Warning: number of bins not defined, calculating bins from min and max value" << std::endl;
367 imgReader.getMinMax(minX,maxX,band_opt[0]);
369 imgReader.getMinMax(minY,maxY,band_opt[1]);
371 minValue=(minX<minY)? minX:minY;
372 maxValue=(maxX>maxY)? maxX:maxY;
374 std::cout <<
"min and max values: " << minValue <<
", " << maxValue << std::endl;
375 nbin=maxValue-minValue+1;
381 assert(band_opt[0]<imgReader.nrOfBand());
382 assert(band_opt[1]<imgReader.nrOfBand());
383 GDALProgressFunc pfnProgress;
385 GDALRasterBand* rasterBand;
388 rasterBand=imgReader.getRasterBand(band_opt[0]);
389 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev1,pfnProgress,pProgressData);
390 rasterBand=imgReader.getRasterBand(band_opt[1]);
391 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev2,pfnProgress,pProgressData);
393 double estimatedSize=1.0*imgReader.getNvalid(band_opt[0])/down_opt[0]/down_opt[0];
395 estimatedSize*=random_opt[0]/100.0;
396 sigma=1.06*sqrt(stdDev1*stdDev2)*pow(estimatedSize,-0.2);
401 std::cout <<
"calculating 2d kernel density estimate with sigma " << sigma <<
" for bands " << band_opt[0] <<
" and " << band_opt[1] << std::endl;
403 std::cout <<
"calculating 2d histogram for bands " << band_opt[0] <<
" and " << band_opt[1] << std::endl;
404 std::cout <<
"nbin: " << nbin << std::endl;
408 vector< vector<double> > output;
411 imgReader.getMinMax(minX,maxX,band_opt[0]);
413 imgReader.getMinMax(minY,maxY,band_opt[1]);
416 std::ostringstream s;
417 s<<
"Error: could not calculate distribution (minX>=maxX)";
421 std::ostringstream s;
422 s<<
"Error: could not calculate distribution (minY>=maxY)";
426 for(
int i=0;i<nbin;++i){
427 output[i].resize(nbin);
428 for(
int j=0;j<nbin;++j)
433 vector<double> inputX(imgReader.nrOfCol());
434 vector<double> inputY(imgReader.nrOfCol());
435 unsigned long int nvalid=0;
436 for(
int irow=0;irow<imgReader.nrOfRow();++irow){
439 imgReader.readData(inputX,GDT_Float64,irow,band_opt[0]);
440 imgReader.readData(inputY,GDT_Float64,irow,band_opt[1]);
441 for(
int icol=0;icol<imgReader.nrOfCol();++icol){
445 double p=
static_cast<double>(rand())/(RAND_MAX);
450 if(imgReader.isNoData(inputX[icol]))
452 if(imgReader.isNoData(inputY[icol]))
455 if(inputX[icol]>=maxX)
457 else if(inputX[icol]<=minX)
460 binX=
static_cast<int>(
static_cast<double>(inputX[icol]-minX)/(maxX-minX)*nbin);
461 if(inputY[icol]>=maxY)
463 else if(inputY[icol]<=minX)
466 binY=
static_cast<int>(
static_cast<double>(inputY[icol]-minY)/(maxY-minY)*nbin);
468 assert(binX<output.size());
470 assert(binY<output[binX].size());
474 for(
int ibinX=0;ibinX<nbin;++ibinX){
475 double centerX=minX+
static_cast<double>(maxX-minX)*ibinX/nbin;
476 double pdfX=gsl_ran_gaussian_pdf(inputX[icol]-centerX, sigma);
477 for(
int ibinY=0;ibinY<nbin;++ibinY){
479 double centerY=minY+
static_cast<double>(maxY-minY)*ibinY/nbin;
480 double pdfY=gsl_ran_gaussian_pdf(inputY[icol]-centerY, sigma);
481 output[ibinX][binY]+=pdfX*pdfY;
486 ++output[binX][binY];
490 cout <<
"number of valid pixels: " << nvalid << endl;
492 for(
int binX=0;binX<nbin;++binX){
494 for(
int binY=0;binY<nbin;++binY){
496 if(nbin==maxX-minX+1)
499 binValueX=minX+
static_cast<double>(maxX-minX)*(binX+0.5)/nbin;
501 if(nbin==maxY-minY+1)
504 binValueY=minY+
static_cast<double>(maxY-minY)*(binY+0.5)/nbin;
506 double value=
static_cast<double>(output[binX][binY]);
511 cout << binValueX <<
" " << binValueY <<
" " << value << std::endl;
517 if(reg_opt[0]&&input_opt.size()<2){
518 if(band_opt.size()<2)
520 imgreg.setDown(down_opt[0]);
521 imgreg.setThreshold(random_opt[0]);
524 double r2=imgreg.getR2(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
525 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
527 if(regerr_opt[0]&&input_opt.size()<2){
528 if(band_opt.size()<2)
530 imgreg.setDown(down_opt[0]);
531 imgreg.setThreshold(random_opt[0]);
534 double err=imgreg.getRMSE(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
535 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -rmse " << err << std::endl;
537 if(rmse_opt[0]&&input_opt.size()<2){
538 if(band_opt.size()<2)
540 vector<double> xBuffer(imgReader.nrOfCol());
541 vector<double> yBuffer(imgReader.nrOfCol());
544 double nPixel=imgReader.nrOfCol()/down_opt[0]*imgReader.nrOfRow()/down_opt[0];
545 for(
int irow;irow<imgReader.nrOfRow();irow+=down_opt[0]){
546 imgReader.readData(xBuffer,GDT_Float64,irow,band_opt[0]);
547 imgReader.readData(yBuffer,GDT_Float64,irow,band_opt[1]);
548 for(
int icol;icol<imgReader.nrOfCol();icol+=down_opt[0]){
549 double xValue=xBuffer[icol];
550 double yValue=yBuffer[icol];
551 if(imgReader.isNoData(xValue)||imgReader.isNoData(yValue)){
554 if(imgReader.isNoData(xValue)||imgReader.isNoData(yValue)){
557 if(xValue<src_min_opt[0]||xValue>src_max_opt[0]||yValue<src_min_opt[0]||yValue>src_max_opt[0])
560 double e=xValue-yValue;
566 double correctNorm=nValid;
569 std::cout <<
" -rmse " << sqrt(mse) << std::endl;
571 if(preg_opt[0]&&input_opt.size()<2){
572 if(band_opt.size()<2)
574 imgreg.setDown(down_opt[0]);
575 imgreg.setThreshold(random_opt[0]);
578 double r2=imgreg.pgetR2(imgReader,band_opt[0],band_opt[1],c0,c1,verbose_opt[0]);
579 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
650 if(reg_opt[0]&&(input_opt.size()>1)){
651 imgreg.setDown(down_opt[0]);
652 imgreg.setThreshold(random_opt[0]);
655 while(band_opt.size()<input_opt.size())
656 band_opt.push_back(band_opt[0]);
657 if(src_min_opt.size()){
658 while(src_min_opt.size()<input_opt.size())
659 src_min_opt.push_back(src_min_opt[0]);
661 if(src_max_opt.size()){
662 while(src_max_opt.size()<input_opt.size())
663 src_max_opt.push_back(src_max_opt[0]);
668 if(offset_opt.size())
669 imgReader1.setOffset(offset_opt[0],band_opt[0]);
671 imgReader1.setScale(scale_opt[0],band_opt[0]);
672 if(offset_opt.size()>1)
673 imgReader2.setOffset(offset_opt[1],band_opt[1]);
674 if(scale_opt.size()>1)
675 imgReader2.setScale(scale_opt[1],band_opt[1]);
677 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
679 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
680 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
682 imgReader1.pushNoDataValue(nodata_opt[inodata]);
683 imgReader2.pushNoDataValue(nodata_opt[inodata]);
686 double r2=imgreg.getR2(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
687 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
691 if(preg_opt[0]&&(input_opt.size()>1)){
692 imgreg.setDown(down_opt[0]);
693 imgreg.setThreshold(random_opt[0]);
696 while(band_opt.size()<input_opt.size())
697 band_opt.push_back(band_opt[0]);
698 if(src_min_opt.size()){
699 while(src_min_opt.size()<input_opt.size())
700 src_min_opt.push_back(src_min_opt[0]);
702 if(src_max_opt.size()){
703 while(src_max_opt.size()<input_opt.size())
704 src_max_opt.push_back(src_max_opt[0]);
709 if(offset_opt.size())
710 imgReader1.setOffset(offset_opt[0],band_opt[0]);
712 imgReader1.setScale(scale_opt[0],band_opt[0]);
713 if(offset_opt.size()>1)
714 imgReader2.setOffset(offset_opt[1],band_opt[1]);
715 if(scale_opt.size()>1)
716 imgReader2.setScale(scale_opt[1],band_opt[1]);
718 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
720 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
721 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
723 imgReader1.pushNoDataValue(nodata_opt[inodata]);
724 imgReader2.pushNoDataValue(nodata_opt[inodata]);
727 double r2=imgreg.pgetR2(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
728 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -r2 " << r2 << std::endl;
732 if(regerr_opt[0]&&(input_opt.size()>1)){
733 imgreg.setDown(down_opt[0]);
734 imgreg.setThreshold(random_opt[0]);
737 while(band_opt.size()<input_opt.size())
738 band_opt.push_back(band_opt[0]);
739 if(src_min_opt.size()){
740 while(src_min_opt.size()<input_opt.size())
741 src_min_opt.push_back(src_min_opt[0]);
743 if(src_max_opt.size()){
744 while(src_max_opt.size()<input_opt.size())
745 src_max_opt.push_back(src_max_opt[0]);
750 if(offset_opt.size())
751 imgReader1.setOffset(offset_opt[0],band_opt[0]);
753 imgReader1.setScale(scale_opt[0],band_opt[0]);
754 if(offset_opt.size()>1)
755 imgReader2.setOffset(offset_opt[1],band_opt[1]);
756 if(scale_opt.size()>1)
757 imgReader2.setScale(scale_opt[1],band_opt[1]);
759 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
761 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
762 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
764 imgReader1.pushNoDataValue(nodata_opt[inodata]);
765 imgReader2.pushNoDataValue(nodata_opt[inodata]);
768 double err=imgreg.getRMSE(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
769 std::cout <<
"-c0 " << c0 <<
" -c1 " << c1 <<
" -rmse " << err << std::endl;
773 if(rmse_opt[0]&&(input_opt.size()>1)){
774 imgreg.setDown(down_opt[0]);
775 imgreg.setThreshold(random_opt[0]);
778 while(band_opt.size()<input_opt.size())
779 band_opt.push_back(band_opt[0]);
780 if(src_min_opt.size()){
781 while(src_min_opt.size()<input_opt.size())
782 src_min_opt.push_back(src_min_opt[0]);
784 if(src_max_opt.size()){
785 while(src_max_opt.size()<input_opt.size())
786 src_max_opt.push_back(src_max_opt[0]);
791 if(offset_opt.size())
792 imgReader1.setOffset(offset_opt[0],band_opt[0]);
794 imgReader1.setScale(scale_opt[0],band_opt[0]);
795 if(offset_opt.size()>1)
796 imgReader2.setOffset(offset_opt[1],band_opt[1]);
797 if(scale_opt.size()>1)
798 imgReader2.setScale(scale_opt[1],band_opt[1]);
800 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
802 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
803 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
805 imgReader1.pushNoDataValue(nodata_opt[inodata]);
806 imgReader2.pushNoDataValue(nodata_opt[inodata]);
809 double err=imgreg.getRMSE(imgReader1,imgReader2,c0,c1,band_opt[0],band_opt[1],verbose_opt[0]);
810 std::cout <<
"-rmse " << err << std::endl;
814 if(histogram2d_opt[0]&&(input_opt.size()>1)){
815 while(band_opt.size()<input_opt.size())
816 band_opt.push_back(band_opt[0]);
817 if(src_min_opt.size()){
818 while(src_min_opt.size()<input_opt.size())
819 src_min_opt.push_back(src_min_opt[0]);
821 if(src_max_opt.size()){
822 while(src_max_opt.size()<input_opt.size())
823 src_max_opt.push_back(src_max_opt[0]);
828 if(offset_opt.size())
829 imgReader1.setOffset(offset_opt[0],band_opt[0]);
831 imgReader1.setScale(scale_opt[0],band_opt[0]);
832 if(offset_opt.size()>1)
833 imgReader2.setOffset(offset_opt[1],band_opt[1]);
834 if(scale_opt.size()>1)
835 imgReader2.setScale(scale_opt[1],band_opt[1]);
837 for(
int inodata=0;inodata<nodata_opt.size();++inodata){
839 imgReader1.GDALSetNoDataValue(nodata_opt[0],band_opt[0]);
840 imgReader2.GDALSetNoDataValue(nodata_opt[0]),band_opt[1];
842 imgReader1.pushNoDataValue(nodata_opt[inodata]);
843 imgReader2.pushNoDataValue(nodata_opt[inodata]);
846 imgReader1.getMinMax(minX,maxX,band_opt[0]);
847 imgReader2.getMinMax(minY,maxY,band_opt[1]);
850 cout <<
"minX: " << minX << endl;
851 cout <<
"maxX: " << maxX << endl;
852 cout <<
"minY: " << minY << endl;
853 cout <<
"maxY: " << maxY << endl;
856 if(src_min_opt.size()){
860 if(src_max_opt.size()){
865 nbin=(nbin_opt.size())? nbin_opt[0]:0;
867 std::cerr <<
"Warning: number of bins not defined, calculating bins from min and max value" << std::endl;
871 imgReader1.getMinMax(minX,maxX,band_opt[0]);
873 imgReader2.getMinMax(minY,maxY,band_opt[1]);
875 minValue=(minX<minY)? minX:minY;
876 maxValue=(maxX>maxY)? maxX:maxY;
878 std::cout <<
"min and max values: " << minValue <<
", " << maxValue << std::endl;
879 nbin=maxValue-minValue+1;
885 GDALProgressFunc pfnProgress;
887 GDALRasterBand* rasterBand;
890 rasterBand=imgReader1.getRasterBand(band_opt[0]);
891 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev1,pfnProgress,pProgressData);
892 rasterBand=imgReader2.getRasterBand(band_opt[0]);
893 rasterBand->ComputeStatistics(0,&minValue,&maxValue,&meanValue,&stdDev2,pfnProgress,pProgressData);
896 double estimatedSize=1.0*imgReader.getNvalid(band_opt[0])/down_opt[0]/down_opt[0];
898 estimatedSize*=random_opt[0]/100.0;
899 sigma=1.06*sqrt(stdDev1*stdDev2)*pow(estimatedSize,-0.2);
904 std::cout <<
"calculating 2d kernel density estimate with sigma " << sigma <<
" for datasets " << input_opt[0] <<
" and " << input_opt[1] << std::endl;
906 std::cout <<
"calculating 2d histogram for datasets " << input_opt[0] <<
" and " << input_opt[1] << std::endl;
907 std::cout <<
"nbin: " << nbin << std::endl;
910 vector< vector<double> > output;
913 imgReader1.getMinMax(minX,maxX,band_opt[0]);
915 imgReader2.getMinMax(minY,maxY,band_opt[1]);
918 std::ostringstream s;
919 s<<
"Error: could not calculate distribution (minX>=maxX)";
923 std::ostringstream s;
924 s<<
"Error: could not calculate distribution (minY>=maxY)";
928 cout <<
"minX: " << minX << endl;
929 cout <<
"maxX: " << maxX << endl;
930 cout <<
"minY: " << minY << endl;
931 cout <<
"maxY: " << maxY << endl;
934 for(
int i=0;i<nbin;++i){
935 output[i].resize(nbin);
936 for(
int j=0;j<nbin;++j)
941 vector<double> inputX(imgReader1.nrOfCol());
942 vector<double> inputY(imgReader2.nrOfCol());
950 for(
int irow=0;irow<imgReader1.nrOfRow();++irow){
954 imgReader1.image2geo(icol1,irow1,geoX,geoY);
955 imgReader2.geo2image(geoX,geoY,icol2,irow2);
956 irow2=
static_cast<int>(irow2);
957 imgReader1.readData(inputX,GDT_Float64,irow1,band_opt[0]);
958 imgReader2.readData(inputY,GDT_Float64,irow2,band_opt[1]);
959 for(
int icol=0;icol<imgReader.nrOfCol();++icol){
964 double p=
static_cast<double>(rand())/(RAND_MAX);
969 if(imgReader1.isNoData(inputX[icol]))
971 imgReader1.image2geo(icol1,irow1,geoX,geoY);
972 imgReader2.geo2image(geoX,geoY,icol2,irow2);
973 icol2=
static_cast<int>(icol2);
974 if(imgReader2.isNoData(inputY[icol2]))
977 if(inputX[icol1]>=maxX)
979 else if(inputX[icol]<=minX)
982 binX=
static_cast<int>(
static_cast<double>(inputX[icol1]-minX)/(maxX-minX)*nbin);
983 if(inputY[icol2]>=maxY)
985 else if(inputY[icol2]<=minY)
988 binY=
static_cast<int>(
static_cast<double>(inputY[icol2]-minY)/(maxY-minY)*nbin);
990 assert(binX<output.size());
992 assert(binY<output[binX].size());
996 for(
int ibinX=0;ibinX<nbin;++ibinX){
997 double centerX=minX+
static_cast<double>(maxX-minX)*ibinX/nbin;
998 double pdfX=gsl_ran_gaussian_pdf(inputX[icol1]-centerX, sigma);
999 for(
int ibinY=0;ibinY<nbin;++ibinY){
1001 double centerY=minY+
static_cast<double>(maxY-minY)*ibinY/nbin;
1002 double pdfY=gsl_ran_gaussian_pdf(inputY[icol2]-centerY, sigma);
1003 output[ibinX][binY]+=pdfX*pdfY;
1009 ++output[binX][binY];
1015 cout <<
"number of valid pixels: " << nvalid << endl;
1016 for(
int binX=0;binX<nbin;++binX){
1018 for(
int binY=0;binY<nbin;++binY){
1020 if(nbin==maxX-minX+1)
1021 binValueX=minX+binX;
1023 binValueX=minX+
static_cast<double>(maxX-minX)*(binX+0.5)/nbin;
1025 if(nbin==maxY-minY+1)
1026 binValueY=minY+binY;
1028 binValueY=minY+
static_cast<double>(maxY-minY)*(binY+0.5)/nbin;
1029 double value=
static_cast<double>(output[binX][binY]);
1031 if(relative_opt[0]||kde_opt[0])
1032 value*=100.0/nvalid;
1034 cout << binValueX <<
" " << binValueY <<
" " << value << std::endl;
1043 if(!histogram_opt[0]||histogram2d_opt[0])
1044 std::cout << std::endl;