Built-up Area Detection from PolSAR Images Based on Nonstationarity and Polarization Coherency Coefficient Ratio

FAN Qinghui; MU Jianjun; XIANG Deliang; SONG Wenqing

doi:10.11999/JEIT161000

Volume 38 Issue 12

Jan. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3238-3244

FAN Qinghui, MU Jianjun, XIANG Deliang, SONG Wenqing. Built-up Area Detection from PolSAR Images Based on Nonstationarity and Polarization Coherency Coefficient Ratio[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3238-3244. doi: 10.11999/JEIT161000

Citation:

FAN Qinghui, MU Jianjun, XIANG Deliang, SONG Wenqing. Built-up Area Detection from PolSAR Images Based on Nonstationarity and Polarization Coherency Coefficient Ratio[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3238-3244. doi: 10.11999/JEIT161000

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Built-up Area Detection from PolSAR Images Based on Nonstationarity and Polarization Coherency Coefficient Ratio

doi: 10.11999/JEIT161000

1.
2.
(School of Computer Science and Technology, Xidian University, Xi&rsquo

Funds:

The National Natural Science Foundation of China (61271004, 61471286, 61501504)

Received Date: 2016-09-30
Rev Recd Date: 2016-11-09
Publish Date: 2016-12-19

Abstract

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.
- Polarimetric SAR (PolSAR),
- Built-up area detection,
- Sub-aperture decomposition,
- Polarization coherency coefficient ratio,
- Nonstationarity detection

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References(14)

References

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