Ship detection is an important direction of SAR image application in maritime surveillance. A multi-scale optimization threshold saliency detection is proposed in this study, for detecting ship targets of SAR image.The SAR image is first decomposed into a pyramid image sequence. Then the saliency detection is performed by using the spectral residual method for each layer in the sequence, and the salient subgraphs that contain ship targets are obtained. Finally, the subgraphs are fused and the optimization threshold segmentation method that applies to the saliency map is used to produce the final result. Experimental results show that the proposed approach has better detection performance, and it has low complexity and high detection accuracy and greatly reduces the dependence on prior knowledge.
YAN Chengzhang
,
LIU Chang
. A ship target detection method of SAR image based on saliency detection[J]. Journal of University of Chinese Academy of Sciences, 2019
, 36(3)
: 401
-409
.
DOI: 10.7523/j.issn.2095-6134.2019.03.014
[1] Maitre H.合成孔径雷达图像处理[M].孙洪,等译. 北京:电子工业出版社, 2013.
[2] Brusch S, Lehner S, Fritz T, et al. Ship surveillance with TerraSAR-X[J]. IEEE Transactions on Geoscience & Remote Sensing, 2011, 49(3):1092-1103.
[3] 种劲松, 朱敏慧. SAR图像舰船及其尾迹检测研究综述[J]. 电子学报, 2003, 31(9):1356-1360.
[4] Eldhuset K. An automatic ship and ship wake detection system for spaceborne SAR images in coastal regions[J]. Geoscience & Remote Sensing IEEE Transactions on, 1996, 34(4):1010-1019.
[5] Jiang Q, Wang S, Ziou D, et al. Ship detection in RADARSAT SAR imagery[C]//IEEE International Conference on Systems, Man, and Cybernetics.IEEE,1998,5:4562-4566.
[6] Zaimbashi A, Norouzi Y. Automatic dual censoring cell-averaging CFAR detector in non-homogenous environments[M]. Elsevier North-Holland, Inc. 2008.
[7] Gao G, Liu L, Zhao L, et al. An adaptive and fast CFAR algorithm based on automatic censoring for target detection in high-resolution SAR images[J]. IEEE Transactions on Geoscience & Remote Sensing, 2009, 47(6):1685-1697.
[8] Yonggang J I, Jie Z, Meng J, et al. A new CFAR ship target detection method in SAR imagery[J]. Acta Oceanologica Sinica, 2010, 29(1):12-16.
[9] Jin M K, Chen K S. The application of wavelets correlator for ship wake detection in SAR images[J]. IEEE Transactions on Geoscience & Remote Sensing, 2003, 41(6):1506-1511.
[10] 朱瑞辉, 万敏, 范国滨. 基于金字塔变换的图像融合方法[J]. 计算机仿真, 2007, 24(12):178-180.
[11] Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 1998, 20(11):1254-1259.
[12] Hou X, Zhang L. Saliency detection:a spectral residual approach[C]//Computer Vision and Pattern Recognition, 2007. CVPR 07. IEEE Conference on. IEEE, 2007:1-8.
[13] Ohtsu N. A threshold selection method from gray-level histograms[J]. IEEE Transactions on Systems Man & Cybernetics, 2007, 9(1):62-66.
[14] Gao G, Liu L, Zhao L, et al. An adaptive and fast CFAR algorithm based on automatic censoring for target detection in high-resolution SAR images[J]. IEEE Transactions on Geoscience & Remote Sensing, 2009, 47(6):1685-1697.
[15] Pourmottaghi A, Taban M R, Gazor S. A CFAR detector in a nonhomogenous Weibull clutter[J]. Aerospace & Electronic Systems IEEE Transactions on, 2012, 48(2):1747-1758.
[16] Wang X, Chen C. Adaptive ship detection in SAR images using variance WIE-based method[J]. Signal Image & Video Processing, 2016, 10(7):1-6.
[17] Wang X, Chen C. Ship detection for complex background SAR images based on a multiscale variance weighted image entropy method[J]. IEEE Geoscience & Remote Sensing Letters, 2017, 14(2):184-187.
