otirmizi
commented
1 year ago Hi, I recently ran into the same problem and this was the solution:
Snaphu does not do well with NaN values. The first thing to do would be to double check and see if all your data is actually blank or if you are just zoomed in too far. You can add -z -8 to the end of the mdx command or use the zoom button from the toolbar to check.
If the files are actually all blank, you will need to recreate them using previous steps. If there is data there, you can edit the integratePS.py script and add ifgram_ds_ps = np.nan_to_num(ifgram_ds_ps) at line 129 and re-run it. This will replace all NaN values with zeroes and you should be able to unwrap after that.
Unwrapping of the PS and DS using the run_unwrap_ps_ds.sh stopped due to the following error:
snaphu v1.4.2 Reading wrapped phase from file PS_DS/20200821_20200914.int No weight file specified. Assuming uniform weights Reading correlation data from file PS_DS/tcorr_ds_ps.bin NaN or infinity found in correlation data Abort
The command I've used to generate the run_unwrap_ps_ds.sh is integratePS.py -s coreg_stack/slcs_base.vrt -d adjusted_wrapped_DS/ -t Sequential/Datum_connection/EVD/tcorr.bin -p ampDispersion/ps_pixels -o PS_DS --unwrap_method snaphu.
The code inside the run_unwrap_ps_ds.sh are the following: unwrap_fringe.py -m snaphu -i PS_DS/20200821_20200827.int -c PS_DS/tcorr_ds_ps.bin -o PS_DS/unwrap/20200821_20200827.unw unwrap_fringe.py -m snaphu -i PS_DS/20200821_20200902.int -c PS_DS/tcorr_ds_ps.bin -o PS_DS/unwrap/20200821_20200902.unw unwrap_fringe.py -m snaphu -i PS_DS/20200821_20200908.int -c PS_DS/tcorr_ds_ps.bin -o PS_DS/unwrap/20200821_20200908.unw unwrap_fringe.py -m snaphu -i PS_DS/20200821_20200914.int -c PS_DS/tcorr_ds_ps.bin -o PS_DS/unwrap/20200821_20200914.unw unwrap_fringe.py -m snaphu -i PS_DS/20200821_20200920.int -c PS_DS/tcorr_ds_ps.bin -o PS_DS/unwrap/20200821_20200920.unw