Multilook Polarimetric SAR Change Detection Using Stochastic Distances Between Matrix-Variate $G_d^0$ Distributions

Citation Author(s):
Nizar
bouhlel
CentraleSupElec
Submitted by:
NIZAR BOUHLEL
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/r2m7-p756
Data Format:
*.avi; *.csv; *.txt; *.zip
Research Article Link:
Multilook Polarimetric SAR Change Detection Using Stochastic Distances Between Matrix-Variate Gd0 Distributions
Links:
Multilook Polarimetric SAR Change Detection Using Stochastic Distances Between Matrix-Variate Gd0 Distributions
License:
Creative Commons Attribution
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Categories:
Geoscience and Remote Sensing
Remote Sensing
Keywords:
Change detection, multilook polarimetric SAR data, stochastic distances: Kullback-Leibler, Renyi of order β, Bhattacharyya and Hellinger distances, expectation- maximization algorithm.
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Abstract 

Dataset for change detection (before and after change) are generated by matlab code.

Instructions: 

For the documentation about the use of the code please read the paper IEEE TGRS: "Multilook Polarimetric SAR Change Detection Using Stochastic Distances Between Matrix-Variate $G_d^0$ Distribution", DOI: 10.1109/TGRS.2020.2976766

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Submitted by Salih Olmaz on Sun, 01/03/2021 - 09:38

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