Why I got much less PS points than the paper for the Mud Creek landslide case?

[wenyangmao]

Hello @mirzaees ,

When I using the following miaplpy paramters to do the Mud Creek landslide case, the PS result seems much less than the paper.

miaplpy.inversion.rangeWindow = 19 # range window size for searching SHPs, auto for 15
miaplpy.inversion.azimuthWindow = 9 # azimuth window size for searching SHPs, auto for 15
miaplpy.inversion.PsNumShp = 10 # auto for 10, number of shps for ps candidates
miaplpy.inversion.shpTest = ks

miaplpy.interferograms.networkType = delaunay
miaplpy.interferograms.delaunayPerpThresh = 200
miaplpy.interferograms.delaunayTempThresh = 60
miaplpy.interferograms.ministackSize = 10

miaplpy.timeseries.minTempCoh = 0.5
miaplpy.timeseries.tempCohType = average

I wonder to know how to increase the PS numbers as the paper.
Thank you very much.

[mirzaees]

Hi @wenyangmao
what time period are you processing? is it same as paper(2015-May 2017)?

[wenyangmao]

@mirzaees ,

Hi @wenyangmao what time period are you processing? is it same as paper(2015-May 2017)?

Yes. It is the same as your case. It is from 20150524T to 20170119.

[david-ncu2019]

Sorry @wenyangmao @mirzaees , have you solved the problem? Would you mind sharing your approaches?

I also encountered a low number of PS points when processing TerraSAR-X images, even in an area with many buildings. I really want to discuss the causes of this issue.