Model Free Decomposition techniques using SAR data

This repository contains python packages for model free decompositions using Synthetic Aperture Radar (SAR) data

Installation

Please clone the github repository

git clone https://github.com/Subho07/Model-Free-Decomposition.git

Go to Model-Free-Decomposition

cd Model-Free-Decomposition

For Model free 3 component full polarimetric decomposition (MF3CF)

cd mf3cf

or,

cd Model-Free-Decomposition\mf3cf

For Model free 3 component compact polarimetric decomposition (MF3CC)

cd mf3cc

or,

cd Model-Free-Decomposition\mf3cc

Install packages using

python setup.py install

Usage MF3CF

MF3CF in Python

>> T3_path = 'D:/T3'

>> wsi = 7 # wsi = window size

>> from mf3cf import mf3cf_powers

>> ps, pd, pv = mf3cf_powers(T3_path, wsi)

Please check the T3_path for the exported power components in .bin format.

MF3CF in C

gcc mf3cf.c -o mf3cf.exe -lm
./mf3cf.exe T3 3 # using T3 data in folder T3, window size 3

Usage MF3CC

MF3CC in Python:

>> C2_path = 'D:/C2'

>> wsi = 7 # wsi = window size

>> from mf3cc import mf3cc_powers

>> ps, pd, pv = mf3cc_powers(C2_path, wsi, -45) # here chi = -45 (as default)

Please check the C2_path for the exported power components in .bin format.

MF3CC in c:

gcc mf3cc.c -o mf3cc.exe -lm
./mf3cc.exe C2 3 # using C2 data in folder C2, window size 4 and default chi angle -45. degrees
./mf3cc.exe C2 3 -45. # or, add a numerical parameter to set the chi angle!

Reference

• S. Dey, A. Bhattacharya, D. Ratha, D. Mandal and A. C. Frery, "Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data," in IEEE Transactions on Geoscience and Remote Sensing, doi: https://doi.org/10.1109/TGRS.2020.3010840.