Three-Component Power Decomposition for Polarimetric SAR Data Based on Adaptive Volume Scattering Model

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概要

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• 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 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 NASA/JPL's AIRSAR and JAXA's 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.

• 2012-05-11

著者

• Yamaguchi Yoshio

  Faculty Of Engineering Niigata University

• Singh Gulab

  Faculty Of Engineering Niigata University

• Cui Yi

  Faculty Of Engineering Niigata University

• PARK Sang-Eun

  Faculty of Engineering, Niigata University

• Kobayashi Hirokazu

  Faculty Of Engineering Niigata University

• YAMAGUCHI Yoshio

  Graduate School of Science and Technology, Niigata University

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