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| Built-up Area Detection from PolSAR Images Based on Nonstationarity and Polarization Coherency Coefficient Ratio |
| FAN Qinghui①② MU Jianjun① XIANG Deliang③ SONG Wenqing④ |
①(School of Computer Science and Technology, Xidian University, Xi’an 710071, China)
②(Information Engineering School, Henan University of Science and Technology, Luoyang 471023, China)
③(College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
④(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China) |
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Abstract To improve the detection accuracy of urban built-up areas from Polarimetric Synthetic Aperture Radar (PolSAR) images, this paper proposes a new built-up area detection method based on nonstationarity and polarization coherency coefficient ratio. Firstly, the PolSAR image is filtered and decomposed into several sub-aperture images along the azimuth direction. Then nonstationarity detection and polarization coherency coefficient ratio are combined to determine the class label of pixels. On the basis of the traditional nonstationarity detection method, this paper introduces a new polarization coherency coefficient ratio to remove the false alarms of natural areas and to improve the overall detection accuracy. Experimental results using spaceborne and airborne PolSAR data demonstrate the effectiveness of the proposed method.
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Received: 30 September 2016
Published: 02 December 2016
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| Fund: The National Natural Science Foundation of China (61271004, 61471286, 61501504) |
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Corresponding Authors:
FAN Qinghui
E-mail: haustfanqh@126.com
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