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MIAmi Phase Linking in PYthon
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Why I got much less PS points than the paper for the Mud Creek landslide case? #84

Open wenyangmao opened 6 months ago

wenyangmao commented 6 months ago

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

MudCreek

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

mirzaees commented 6 months ago

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

wenyangmao commented 6 months ago

@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 commented 1 month ago

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.