SAR图像NSCT域显著图去噪变化检测

doi:合成孔径雷达图像|变化检测|非下采样轮廓变换|显著图|k均值方法

Abstract

Abstract:

Aiming at solving the problem of low detection accuracy of traditional synthetic aperture radar (SAR) image change detection methods this paper proposes a change detection method which combines salient information to construct the fused difference image in the nonsubsampled contourlet transform (NSCT) domain. First, three difference images including the mean ratio image, log ratio image and neighborhood log ratio image are constructed with two input images and then the saliency image is extracted from the log ratio image Second, the mean ratio image and neighborhood log ratio image are decomposed by the NSCT method. The low-pass sub-bands of the neighborhood log ratio image are restricted by the saliency image to highlight the change region of the fused difference image. The directional sub-bands are selectively denoised by the saliency image in different scales and then fused according to the principle of minimum local energy. Finally, the NSCT inverse transform is used to obtain a fused difference image and the change detection map is generated by using the k-means clustering method. The experimental results show that this method can get a better edge and detailed information as well as a higher detection accuracy.

Key words: SAR images, change detection, NSCT transform, saliency map, k-means method

MU Caihong;WU Shengcai;LIU Yi;PENG Peng;LIU Ruochen. SAR images change detection based on saliency map denoising in the NSCT domain[J].Journal of Xidian University, 2018, 45(2): 19-25.

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URL: https://journal.xidian.edu.cn/xdxb/EN/合成孔径雷达图像|变化检测|非下采样轮廓变换|显著图|k均值方法

https://journal.xidian.edu.cn/xdxb/EN/Y2018/V45/I2/19

References

［1］ VU V T, PETTERSSON M I, MACHADO R, et al. False Alarm Reduction in Wavelength-resolution SAR Change Detection Using Adaptive Noise Canceler［J］. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(1): 591-599.
［2］ LI H, GONG M, WANG Q, et al. A Multiobjective Fuzzy Clustering Method for Change Detection in SAR Images［J］. Applied Soft Computing Journal, 2016, 46: 767-777.
［3］ GONG M G, ZHAO J, LIU J, et al. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks［J］. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(1): 125-138.
［4］ MU C H, LI C, LIU Y, et al. Change Detection in SAR Images Based on the Salient Map Guidance and an Accelerated Genetic Algorithm［C］//Proceedings of the 2017 IEEE Congress on Evolutionary Computation. Piscataway: IEEE, 2017: 1150-1157.
［5］慕彩红, 霍利利, 刘逸, 等. 基于小波融合和PCA-核模糊聚类的遥感图像变化检测［J］. 电子学报, 2015, 43(7): 1375-1381.
MU Caihong, HUO Lili, LIU Yi, et al. Change Detection for Remote Sensing Images Based on Wavelet Fusion and PCA-kernel Fuzzy Clustering［J］. Acta Electronica Sinica, 2015, 43(7): 1375-1381.
［6］刘逸, 慕彩红, 刘敬. 结合邻域信息粒子群聚类用于SAR图像变化检测［J］. 西安电子科技大学学报, 2015, 42(1): 187-193.
LIU Yi, MU Caihong, LIU Jing. Change Detection for SAR Images Based on the Particle Swarm Clustering Algorithm Using Neighborhood in Formation［J］. Journal of Xidian University, 2015, 42(1): 187-193.
［7］ ZHENG Y G, JIAO L C, LIU H Y, et al. Unsupervised Saliency-guided SAR Image Change Detection［J］. Pattern Recognition, 2017, 61: 309-326.
［8］ ZHANG F, DU B, ZHANG L. Saliency-guided Unsupervised Feature Learning for Scene Classification［J］. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4): 2175-2184.
［9］ da CUNHA A L, ZHOU J, DO M N. The Nonsubsampled Contourlet Transform: Theory, Design, and Applications［J］. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.
［10］ GOFERMAN S, ZELNIK-MANOR L, TAL A. Context-aware Saliency Detection［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(10): 1915-1926.
［11］ OTSU N. A Threshold Selection Method from Gray-level Histograms［J］. IEEE Transactions on System, Man and Cybemetics, 1979, 9(1): 62-66.
［12］付明柏. 基于UDWT与Snake模型的多时相SAR图像变化检测方法［J］. 计算机应用与软件, 2014, 31(4): 254-257.
FU Mingbai. Multitemporal SAR Images Change Detection Method Based on UDWT and Snake Models［J］. Computer Applications and Software, 2014, 31(4): 254-257.
［13］ ZHENG Y G, ZHANG X, HOU B, et al. Using Combined Difference Image and, k-means Clustering for SAR Image Change Detection［J］. IEEE Geoscience and Remote Sensing Letters, 2013, 11(3): 691-695.
［14］ MA J J, GONG M, ZHOU Z. Wavelet Fusion on Ratio Images for Change Detection in SAR Images［J］. IEEE Geoscience and Remote Sensing Letters, 2012, 9(6): 1122-1126.
［15］李玲玲, 贾振红, 覃锡忠, 等. 混合的SAR图像变化检测算法［J］. 计算机工程与设计, 2015, 36(5): 1256-1259.
LI Lingling, JIA Zhenhong, QIN Xizhong, et al. Hybrid SAR Image Change Detection Algorithm［J］. Computer Engineering and Design, 2015, 36( 5): 1256-1259.

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SAR images change detection based on saliency map denoising in the NSCT domain

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