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Iterative Classification of Polarimetric SAR Image Based on Freeman Decomposition and Scattering Entropy |
Zhao Li-wen Zhou Xiao-guang Jiang Yong-mei Kuang Gang-yao |
(School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China) |
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Abstract In this paper, a new iterative classification of polarimetric SAR image based on Freeman decomposition and scattering entropy is proposed. This technique extracts the powers of three scattering mechanism components through Freeman decomposition and scattering entropy through H/α decomposition first; Then using the four parameters which can characterize terrain divides the terrains of polarimetric SAR image into nine initial classes, and the final result is obtained by iterative classification with Wishart classifier. This method utilizes polarimetric scattering information of terrain with reason, can acquire good effect of classification and requires a little operation. The effectiveness of this method is demonstrated with the experimental results of polarimetric SAR datas measured practically.
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Received: 10 May 2007
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Corresponding Authors:
Zhao Li-wen
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