Remote Sensing Applications and Decision Support

Improved superpixel-based polarimetric synthetic aperture radar image classification integrating color features

[+] Author Affiliations
Yanxiao Xing, Guixiang Hu

Chinese Academy of Sciences, Institute of Electronics, Department of Space Microwave Remote Sensing System, No. 19, North 4th Ring Road West, Haidian District, Beijing 100190, China

University of the Chinese Academy of Sciences, Beijing 100039, China

Yi Zhang, Ning Li, Robert Wang

Chinese Academy of Sciences, Institute of Electronics, Department of Space Microwave Remote Sensing System, No. 19, North 4th Ring Road West, Haidian District, Beijing 100190, China

J. Appl. Remote Sens. 10(2), 026026 (May 27, 2016). doi:10.1117/1.JRS.10.026026
History: Received December 21, 2015; Accepted May 9, 2016
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Abstract.  Various polarimetric features including scattering matrix, covariance matrix, polarimetric decomposition results, and textural or spatial information have already been used for polarimetric synthetic aperture radar (PolSAR) image classification. However, color features are rarely involved. We propose an improved superpixel-based PolSAR image classification integrating color features. First, we extract the color information using polarimetric decomposition. Second, by combining the color and spatial information of pixels, modified simple linear iterative clustering is used to generate small regions called superpixels. Then we apply Wishart distance to the superpixels to classify them into different classes. This method is demonstrated using the L-band Flevoland PolSAR data from AirSAR and Oberpfaffenhofen PolSAR data from ESAR. The results show that this method works well for areas with homogeneous terrains like farms in terms of both classification accuracy and computational efficiency. Furthermore, the success of the proposed method signifies that more color features can be discovered in the future research works.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Yanxiao Xing ; Yi Zhang ; Ning Li ; Robert Wang and Guixiang Hu
"Improved superpixel-based polarimetric synthetic aperture radar image classification integrating color features", J. Appl. Remote Sens. 10(2), 026026 (May 27, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.026026


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