Research Papers

Integration of multidimensional parameters of polarimetric synthetic aperture radar images for land use and land cover classification

[+] Author Affiliations
Yingbao Yang

Hohai University, School of Earth Sciences and Engineering, No. 1 Xikang Road, Nanjing, Jiangsu 210098, China

Shuang Yu

Hohai University, School of Earth Sciences and Engineering, No. 1 Xikang Road, Nanjing, Jiangsu 210098, China

Yanwen Li

National Marine Data and Information Service, No. 93 Liuwei Road, Hedong District, Tianjin 300171, China

Dengsheng Lu

Michigan State University, Center for Global Change and Earth Observations, 1405 S. Harrison Road, East Lansing, Michigan 48823

J. Appl. Remote Sens. 7(1), 073472 (Nov 27, 2013). doi:10.1117/1.JRS.7.073472
History: Received April 23, 2013; Revised October 31, 2013; Accepted November 4, 2013
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Abstract.  Diverse parameters that are decomposed from quad polarimetric synthetic aperture radar (PolSAR) imagery become the important basis in the target recognition and classification. The selection of effective parameters is a very important research topic. This work aims to explore the algorithm of parameter selection based on the parametric statistics and multidimensional analysis. The proposed algorithm merges the parameters from different decomposed algorithms and the optimal parameters describing the backscattering characters of the targets are explored. The difference of parameters’ locations in three-dimensional spaces is the important basis of target differentiation. Based on the selected parameters, PolSAR images are classified using the object-oriented analysis and decision tree method. The experimental results indicate that the overall accuracy and Kappa coefficient of the classification using the integrated multidimensional parameters were higher than those using Freeman and H/A/α decomposed parameters. The advantage of this algorithm is to select optimal parameter combinations in multidimensional space by integrating many parameters from different decomposed algorithms.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Yingbao Yang ; Shuang Yu ; Yanwen Li and Dengsheng Lu
"Integration of multidimensional parameters of polarimetric synthetic aperture radar images for land use and land cover classification", J. Appl. Remote Sens. 7(1), 073472 (Nov 27, 2013). ; http://dx.doi.org/10.1117/1.JRS.7.073472


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