Polarimetric SAR Coherent Change Detection Method Based on Volume Scattering Constraint
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摘要: 相干变化检测(CCD)利用场景中变化区域的失相干特性进行检测，而场景中存在的体散射植被区域及低信噪比区域也呈现低相干特性，对待检测变化区域形成干扰。该文提出一种极化SAR CCD方法，首先利用变化前后SAR图像间的极化相干信息建立加权迹相干统计量，然后利用各个SAR图像内极化通道间的相干信息，通过建立混合GEV分布模型，采用改进EM算法求解各分量参数，建立体散射约束项，最后结合散射功率变化约束项构建极化CCD检验统计量。该方法可在不影响检测性能情况下排除干扰。该文采用变化前后的两幅L波段全极化SAR图像进行方法验证，实验结果及指标参数验证了该方法的正确性与有效性。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.
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PREISS M and STACY N J S. Coherent change detection: Theoretical description and experimental results[R]. DSTO-TR-1851, 2006. PREISS M and STACY N J S. Polarimetric SAR coherent change detection[C]. The 7th European Conference on Synthetic Aperture Radar (EUSAR), Friedrichshafen, Germany, 2008: 1–4. CONRADSEN K, NIELSEN A A, SCHOU J, et al. A test statistic in the complex Wishart distribution and its application to change detection in polarimetric SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(1): 4–19 doi: 10.1109/TGRS.2002.808066 NIELSEN A A, CONRADSEN K, and SKRIVER H. Change detection in full and dual polarization, single-and multifrequency SAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(8): 4041–4048 doi: 10.1109/JSTARS.2015.2416434 NIELSEN A A, CONRADSEN K, and SKRIVER H. Corrections to " change detection in full and dual polarization, single-and multi-frequency SAR data”[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(11): 5143–5144 doi: 10.1109/JSTARS.2017.2761038 RATHA D, DE S, CELIK T, et al. Change detection in polarimetric SAR images using a geodesic distance between scattering mechanisms[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(7): 1066–1070 doi: 10.1109/LGRS.2017.2696158 韩萍, 丛润民, 张在吉. 基于极化状态提取的极化SAR图像变化检测算法[J]. 系统工程与电子技术, 2015, 37(7): 1526–1530 doi: 10.3969/j.issn.1001-506X.2015.07.10HAN Ping, CONG Runmin, and ZHANG Zaiji. Change detection algorithm of polarimetric SAR image based on polarization state extracting[J].Systems Engineering and Electronics, 2015, 37(7): 1526–1530 doi: 10.3969/j.issn.1001-506X.2015.07.10 NOVAK L M. Coherent change detection for multi-polarization SAR[C]. Asilomar Conference on Signals, Systems and Computers (ASILOMAR), Pacific Grove, USA, 2005: 568–573. MARINO A. Trace coherence: a new operator for polarimetric and interferometric SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(4): 2326–2339 doi: 10.1109/TGRS.2016.2641742 BARBER J. A generalized likelihood ratio test for coherent change detection in polarimetric SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(9): 1873–1877 doi: 10.1109/LGRS.2015.2433134 MUHURI A, RATHA D, and BHATTACHARYA A. Seasonal snow cover change detection over the Indian Himalayas using polarimetric SAR images[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(12): 2340–2344 doi: 10.1109/LGRS.2017.2764123 刘云龙, 梁兴东, 李焱磊, 等. 一种补偿时变姿态的Whitt极化定标改进算法[J]. 电子与信息学报, 2017, 39(10): 2354–2359 doi: 10.11999/JEIT170177LIU Yunlong, LIANG Xingdong, LI Yanlei, et al. Improved time-variant attitude compensating Whitt polarimetric calibration algorithm[J]. Journal of Electronics&Information Technology, 2017, 39(10): 2354–2359 doi: 10.11999/JEIT170177 冀广宇, 董勇伟, 李焱磊, 等. 一种基于概率图模型的多时相SAR相干变化检测方法[J]. 电子与信息学报, 2017, 39(12): 2912–2920 doi: 10.11999/JEIT170208JI Guangyu, DONG Yongwei, LI Yanlei, et al. A multi-temporal SAR coherent change detection method based on probabilistic graphical models[J]. Journal of Electronics&Information Technology, 2017, 39(12): 2912–2920 doi: 10.11999/JEIT170208 LEE J S and POTTIER E. Polarimetric Radar Imaging: From Basics to Applications[M]. Boca Raton: Taylor & Francis Group, CRC Press, 2009: 143–146. JIN Tingting, SHE Xiaoqiang, QIU Xiaolan, et al. Intertidal area classification with GEV-distribution and Markov random field in quad-polarimetric SAR imagery[J]. Frontiers of Information Technology&Electronic Engineering, 2018(99): 1–14 doi: 10.1631/FITEE.1700462 谢凤英, 赵丹培. Visual C++数字图像处理[M]. 北京: 电子工业出版社, 2008: 279–290.XIE Fengying and ZHAO Danpei. Visual C++ Digital Image Processing[M]. Beijing: Publishing House of Electronics Industry, 2008: 279–290. 赵军香, 梁兴东, 李焱磊. 一种基于似然比统计量的SAR相干变化检测[J]. 雷达学报, 2017, 6(2): 186–194 doi: 10.12000/JR16065ZHAO Junxiang, LIANG Xingdong, and LI Yanlei. Change detection in SAR CCD based on the likelihood change statistics[J]. Journal of Radars, 2017, 6(2): 186–194 doi: 10.12000/JR16065 -
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