An effective method on ship target detection in remote sensing image of complex background

Zhengrong Zuo; Xiaoqin Kuang

doi:10.1117/12.902059

8 December 2011 An effective method on ship target detection in remote sensing image of complex background

Zhengrong Zuo, Xiaoqin Kuang

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 800312 (2011) https://doi.org/10.1117/12.902059
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

This paper presents a method for ship target detecting in complex background. It aims at solving two difficulties in detection. The first one is that the ships docking in-shore cannot be segmented because of its gray level similarity to land, and the second is that the ships linked side by side cannot be easily located as separate correct target. The first one is solved by extracting water region firstly by measure of harbor-template matching. In order to reduce the impact of angle difference which leads to error, we update the template by the corresponding angle calculated recur to line feature. Then matching fine with the updated template to extract water region wholly in which the segment is effective. For the second difficulty, the smallest minimum bounding rectangle (SMBR) of the segmented areas are obtained by contour tracing, and the areas are projected to the two different directions of its SMBR, then the projection curves are acquired. If the ships are linking together, the peak-valley-peak pattern will exist in the projection curve and the valley-point indicates the ships' connection position. Then the ships can be separated by cutting the area at connection position along the projection direction. The experiment results verify the efficiency and accuracy of our method.

Citation Download Citation

Zhengrong Zuo and Xiaoqin Kuang "An effective method on ship target detection in remote sensing image of complex background", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800312 (8 December 2011); https://doi.org/10.1117/12.902059

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