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Three-Component Power Decomposition for Polarimetric SAR Data Based on Adaptive Volume Scatter Modeling
Three-Component Power Decomposition for Polarimetric SAR Data Based on Adaptive Volume Scatter Modeling
Cui, Yi
Yamaguchi, Yoshio
Yang, Jian
Park, Sang-Eun
Kobayashi, Hirokazu
Singh, Gulab
© 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
polarimetric SAR
power decomposition
adaptive volume scattering model
In this paper, the three-component power decomposition for polarimetric SAR (PolSAR) data with an adaptive volume scattering model is proposed. The volume scattering model is assumed to be reflection-symmetric but parameterized. For each image pixel, the decomposition first starts with determining the adaptive parameter based on matrix similarity metric. Then, a respective scattering power component is retrieved with the established procedure. It has been shown that the proposed method leads to complete elimination of negative powers as the result of the adaptive volume scattering model. Experiments with the PolSAR data from both the NASA/JPL (National Aeronautics and Space Administration/Jet Propulsion Laboratory) Airborne SAR (AIRSAR) and the JAXA (Japan Aerospace Exploration Agency) ALOS-PALSAR also demonstrate that the proposed method not only obtains similar/better results in vegetated areas as compared to the existing Freeman-Durden decomposition but helps to improve discrimination of the urban regions.
MDPI
2012-05
eng
journal article
http://hdl.handle.net/10191/29711
https://niigata-u.repo.nii.ac.jp/records/2585
info:doi/10.3390/rs4061559
20724292
Remote Sensing
Remote Sensing
4
6
1559
1572
https://niigata-u.repo.nii.ac.jp/record/2585/files/remotesensing-04-01559.pdf
application/pdf
1.1 MB
2019-07-29