Polarimetric SAR Coherent Change Detection Method Based on Volume Scattering Constraint

Guangyu JI; Xingdong LIANG; Yongwei DONG; Yanlei LI

doi:10.11999/JEIT180035

Volume 40 Issue 10

Sep. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(10): 2461-2469

Guangyu JI, Xingdong LIANG, Yongwei DONG, Yanlei LI. Polarimetric SAR Coherent Change Detection Method Based on Volume Scattering Constraint[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2461-2469. doi: 10.11999/JEIT180035

Citation:

Guangyu JI, Xingdong LIANG, Yongwei DONG, Yanlei LI. Polarimetric SAR Coherent Change Detection Method Based on Volume Scattering Constraint[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2461-2469. doi: 10.11999/JEIT180035

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Polarimetric SAR Coherent Change Detection Method Based on Volume Scattering Constraint

doi: 10.11999/JEIT180035

1.
Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics,Chinese Academy of Sciences, Beijing 100190, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Received Date: 2018-01-10
Rev Recd Date: 2018-05-02

Available Online: 2018-07-30

Publish Date: 2018-10-01

Abstract

Abstract

Coherent Change Detection (CCD) detects change areas in the scene using its decorrelation, yet vegetation areas with volume scattering and low signal-noise ratio areas in the scene also appear as low coherence, which causes interference to change areas to be detected. A polarimetric SAR CCD method is proposed. Firstly, the polarimetric coherence between two SAR images before and after changing is employed to set up weighted trace coherence statistics. Secondly, the polarimetric coherence between channels of each SAR image is employed to set up volume scattering constraint by establishing GEV mixture distribution model and solving parameters of each part using improved EM algorithm. Lastly, constraint of scattering power change is combined to set up the final polarimetric CCD test statistics. Using this method, the interference could be eliminated without influence of detect performance. The method is validated by two L-band full-polarimetric SAR images before and after changing. Results and index parameters demonstrate the correctness and validity of the proposed method.
- Polarimetric Synthetic Aperture Radar (SAR),
- Coherent Change Detection (CCD),
- Polarimetric coherence information,
- Volume scattering,
- EM algorithm

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References(17)

References

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