Science Score: 67.0%

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    Found 6 DOI reference(s) in README
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  • Host: GitHub
  • Owner: navv37
  • Language: Python
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Created over 2 years ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

Dual-pol scattering power components DOI

Author - Mr. Abhinav Verma and Prof. Avik Bhattacharya

MRSLab, Indian Institute of Technology Bombay, India

Method-I: Factorization based approach

Publication: Abhinav Verma, Avik Bhattacharya, Subhadip Dey, Carlos López-Martínez, and Paolo Gamba, "Scattering power components from dual-pol Sentinel-1 SLC and GRD SAR data". ISPRS Journal of Photogrammetry and Remote Sensing, vol.212, pp. 289-305, 2023. DOI: https://doi.org/10.1016/j.isprsjprs.2024.05.010

To get the dual-pol scattering power components using Method-I: 1. Use Python code "Dualpolpowersfactorizationslc.py" for SLC (intensity and phase information) SAR data 2. Use Python code "Dualpolpowersfactorizationgrd.py" for GRD (only intensity, no phase information) SAR data

Method-II: Decomposition based approach

Publication: Abhinav Verma, Avik Bhattacharya, Subhadip Dey, Armando Marino, and Paolo Gamba, "Target Characterization and Scattering Power Components From Dual-Pol Sentinel-1 SAR Data". IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-19, 2024, Art no. 5222619. DOI: https://doi.org/10.1109/TGRS.2024.3460476

To get the dual-pol scattering power components using Method-II: 1. Use Python code "Dualpolpowersdecompostionslc.py" for SLC (intensity and phase information) SAR data 2. Use Python code "Dualpolpowersdecompostiongrd.py" for GRD (only intensity, no phase information) SAR data

Note: To generate RGB images of the powers, ensure that "RGBdisplaydualpolpowers.py" code is there in the same folder along with Method-I and Method-II Python files.

Requirements

Python libraries required:

  1. spectral
  2. numpy
  3. scipy
  4. matplotlib

List of inputs to run the code:

A. For SLC product: Elements of the processed C2 matrix alongside a slope file (tool available in SNAP software) 1. C11.bin.hdr 2. C12real.bin.hdr 3. C12imag.bin.hrd 4. C22.bin.hdr 5. slope.bin.hdr

B. For GRD product: Processed sigma0VV and sigma0VH file 1. Sigma0VV.bin.hdr 2. Sigma0VH.bin.hdr 3. slope.bin.hdr

Standard processing steps to process dual-pol SAR data in SNAP:

A. For SLC product 1. TopSAR split 2. Apply "orbit file" 3. Radiometric calibration
4. TopSAR Deburst 5. Polarimteric matrix [C2] 6. Multi-looking 7. Polarimteric speckle filter (optional) 8. Compute slope (Raster -> DEM Tools -> Compute Slope and Aspect) 9. Export as "PolSARpro" format (File -> Exports -> SAR Formats -> PolSARPro)

B. For GRD product 1. Apply "orbit file" 2. Radiometric calibration 3. Speckle filter 4. Compute slope (Raster -> DEM Tools -> Compute Slope and Aspect) 5. Export as "PolSARpro" format (File -> Exports -> SAR Formats -> PolSARPro)

Owner

  • Name: AVERMA
  • Login: navv37
  • Kind: user

Citation (CITATIONS.cff)

cff-version: 1.2.0
message: "If you use this python codes, please cite it as below."
authors:
- family-names: "Verma"
  given-names: "Abhinav"
  orcid: "https://orcid.org/0000-0002-8349-8697"
title: "Dual-pol Scattering Power Components"
version: 1.0
doi: https://doi.org/10.5281/zenodo.15728458
date-released: 2025-01-36
url: "https://doi.org/10.5281/zenodo.15728458"

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