Re: [gdal-dev] Warping with GCPs at high latitudes
On 24. jan. 2013 20:43, Even Rouault wrote: Did you try to do your suggestion at hand to actually check that your idea leads to the expected result ? This is basically a matter of running : 1) gdaltransform -s_srs EPSG:4326 -t_srs +proj=stere +lat_0=90 +lon_0=0 on the coordinates of the GCPs of the source image 2) gdal_translate -a_srs +proj=stere +lat_0=90 +lon_0=0 [-gcp x y X Y]* src.tif src_reprojected_gcp.tif where x y come from the source image and X Y are the reprojected coordinates 3) gdalwarp src_reprojected_gcp.tif out.tif I tried it now with Python API, and it works perfectly, all the way to the pole. Thus the conclusion should be that GCPs can have any spatial reference system, but preferably one with no singularity within or near the destination area. I used code like this: # Make tranformer from GCP SRS to destination SRS dstSRS = osr.SpatialReference() dstSRS.ImportFromProj4(srsString) srcSRS = osr.SpatialReference() srcGCPProjection = srcDataset.GetGCPProjection() srcSRS.ImportFromWkt(srcGCPProjection) transformer = osr.CoordinateTransformation(srcSRS, dstSRS) # Reproject all GCPs srcGCPs = self.vrt.dataset.GetGCPs() dstGCPs = [] for srcGCP in srcGCPs: (x, y, z) = transformer.TransformPoint(srcGCP.GCPX, srcGCP.GCPY, srcGCP.GCPZ) dstGCP = gdal.GCP(x, y, z, srcGCP.GCPPixel, srcGCP.GCPLine, srcGCP.Info, srcGCP.Id) dstGCPs.append(dstGCP) # Update dataset self.vrt.dataset.SetGCPs(dstGCPs, dstSRS.ExportToWkt()) ___ gdal-dev mailing list gdal-dev@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/gdal-dev
[gdal-dev] Warping with GCPs at high latitudes
Hi, I am having trouble to perform accurate warping of images with GCPs (lon,lat) in the high Arctic (to +proj=stere +lat_0=90 +lon_0=0); problems starting already around 80 degrees of latitude. Thin Plate Spline (-tps) performs better than polynomial fits, but output is often severely dragged at one or two edges, and sometimes it looks like the destination image is mirrored across a line. Trimming images at the edges and adjusting warp options SAMPLE_STEPS and SAMPLE_GRID helps a little, but not sufficiently. For the polynomial fits I assume the problem is related to precision due to the fact that lon and lat become singular at the pole. However, it should then probably be better if the algorithm could: - convert first GCPs to the output projection (in my case stereographic, which has no singularity for the relevant images) - make the polynomial fit GCP_stereo - pixel, line - use this polynomial for the warping I guess most GDAL users have a long wishlist of switches, but how about a switch to control whether GCP polynomial should rather be made in destination projection? Or a switch to gdal_translate to change the GCPProjection and GCP coordinates. A simpler and more pragmatic solution could be to make a separate Python script gdal_translate_gcps.py? Are there other suggestion to deal with these problems? Best regards from Knut-Frode ___ gdal-dev mailing list gdal-dev@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/gdal-dev
Re: [gdal-dev] Warping with GCPs at high latitudes
Le jeudi 24 janvier 2013 13:18:50, Knut-Frode Dagestad a écrit : Hi, I am having trouble to perform accurate warping of images with GCPs (lon,lat) in the high Arctic (to +proj=stere +lat_0=90 +lon_0=0); problems starting already around 80 degrees of latitude. Thin Plate Spline (-tps) performs better than polynomial fits, but output is often severely dragged at one or two edges, and sometimes it looks like the destination image is mirrored across a line. Trimming images at the edges and adjusting warp options SAMPLE_STEPS and SAMPLE_GRID helps a little, but not sufficiently. For the polynomial fits I assume the problem is related to precision due to the fact that lon and lat become singular at the pole. However, it should then probably be better if the algorithm could: - convert first GCPs to the output projection (in my case stereographic, which has no singularity for the relevant images) - make the polynomial fit GCP_stereo - pixel, line - use this polynomial for the warping I guess most GDAL users have a long wishlist of switches, but how about a switch to control whether GCP polynomial should rather be made in destination projection? Or a switch to gdal_translate to change the GCPProjection and GCP coordinates. A simpler and more pragmatic solution could be to make a separate Python script gdal_translate_gcps.py? Are there other suggestion to deal with these problems? In your use case, the source image is more or less very close to its final shape in Stereographics projection (the warping doesn't warp much the image), right ? Did you try to do your suggestion at hand to actually check that your idea leads to the expected result ? This is basically a matter of running : 1) gdaltransform -s_srs EPSG:4326 -t_srs +proj=stere +lat_0=90 +lon_0=0 on the coordinates of the GCPs of the source image 2) gdal_translate -a_srs +proj=stere +lat_0=90 +lon_0=0 [-gcp x y X Y]* src.tif src_reprojected_gcp.tif where x y come from the source image and X Y are the reprojected coordinates 3) gdalwarp src_reprojected_gcp.tif out.tif Best regards from Knut-Frode ___ gdal-dev mailing list gdal-dev@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/gdal-dev ___ gdal-dev mailing list gdal-dev@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/gdal-dev
