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PALSAR ALOS1 SICD format #540
PALSAR ALOS1 SICD format #540
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As a test sample, please use the public data provided by NASA and ASF. |
To assess the quality of resulting SICDs, I chose a scene for which I knew ground truthed reflectors exist. The scene was Using the SICD geolocation model from the resulting SICD, the Rosamond reflectors were off by ~500m along track. At close range, an identifiable clutter interface was off by ~1300m along track, but in the opposite direction. So the geolocation of the SICD is quite unreliable. I don't believe SarPy should be producing SICDs with this level of geolocation error. The
A DRSF of 0.94 is inconsistent with the imaging geometry. Finally, the
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the test pass pytestPython version python -V # Python 3.10.13 test logs
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@syu-tan, thanks again for the nice write-up, discussion, and contribution. Given the issue @utwade pointed out and the analysis by @mstewart-vsc, we think that in its present state the converted SICDs are misleading in a way that does not yet belong in SARPy and are closing this PR for now but please reopen if you find a way to address these shortcomings. |
Thanks to NGA for their great work
Added conversion of SICD format for PALSAR ALOS1.
#539 (comment)
As per the important shared information here,i think too, the native doppler has distortion in the azimuth direction from zero doppler in the geometry. The further away the iso doppler is, the more severe the distortion in the timing of the reflection at zero doppler is.
Visualized in kmz as a sample. The distortion is not very severe, but the position is incorrect.
https://github.com/user-attachments/assets/0d289bf8-822f-45ad-b6d3-0e65e154484e
https://github.com/user-attachments/assets/87296524-5fa5-43f8-9d68-f697fb2e6b94
There is no problem with subapertures on the image such as reforcus.
If there are still problems with the code please let me know. Thanks in advance.