A ship target detection method of SAR image based on saliency detection

doi:10.7523/j.issn.2095-6134.2019.03.014

Abstract

Abstract: 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.

Key words: SAR image, multi-scale, saliency detection

CLC Number:

TP753

YAN Chengzhang, LIU Chang. A ship target detection method of SAR image based on saliency detection[J]. , 2019, 36(3): 401-409.

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