Hi, all
I use the latest version of SNAP9 to stack S1 SAR images.
The steps are:
- apply orbit file
- topsar split
- S-1 back geocoding
But after these steps, I found there were problems in the stack:
Reference image is fine:
But the other secondary images have some problems, for example:
All the others are like this.
And I checked the output during processing:
It seems that cross-correlation is not correctly processed.
Does anyone know what happened?
I think the standard way to process is to use S-1 back geocoding with ESD. Still, your result is weird.
MBG
4
You can use interactive PyGMTSAR (Python InSAR) to prevent such problems: GitHub - mobigroup/gmtsar: PyGMTSAR
It is not normal. There is a problem either in your graph, the input products, or your SNAP installation.
It seems that the burst range is not enough. When I increase the burst range from (2,6) to (1,9). It seems to work.
1 Like