NSSC OpenIR  > 微波遥感部
Alternative TitleInshore ship detection method in optical remote sensing images using local salient characteristics
李轩; 刘云清; 卞春江; 毛博年
Source Publication中国图象图形学报
Keyword光学遥感图像 舷靠舰船 目标检测 直线段 局部显著特征
Other AbstractObjective Automatic inshore ship detection from remote sensing imagery has many important applications, such as ship change detection and harbor dynamic surveillance. Stable performance of inshore ship detection is vital to the analysis of ship change and the determination of the harbor surveillance effect. Ship detection using optical remote sensing images has been a hot research topic. However, detecting inshore ships utilizing the traditional area-based method is difficult because the gray scale and texture character of inshore ships are similar to that of the shore. Therefore,we propose a method of inshore ship detection using local salient characteristics. Method First,the binary image is obtained by water and land segmentation preprocessing. Then,the line segments from binary images are extracted as the local salient features to detect ship targets. Next, line segment extraction result is combined with ship bow detection result to generate the ship detection model. Finally, the ship targets are acquired by calculating the ship geometric size and analyzing the environmental information. Result Experimental results indicate that the proposed inshore ship detection method is more effective and can robustly adapt to the complex background and mooring orientation. The detection result is more accurate compared with that of traditional methods, and the relognition rate is 100%. Conclusion In the complex background environment and other interferences,this method exhibits a high recognition rate,with high robustness and high adaptability.
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Cited Times:5[CSCD]   [CSCD Record]
Document Type期刊论文
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GB/T 7714
李轩,刘云清,卞春江,等. 局部显著特征下的光学遥感图像舷靠舰船检测[J]. 中国图象图形学报,2016,21(5):657-664.
APA 李轩,刘云清,卞春江,&毛博年.(2016).局部显著特征下的光学遥感图像舷靠舰船检测.中国图象图形学报,21(5),657-664.
MLA 李轩,et al."局部显著特征下的光学遥感图像舷靠舰船检测".中国图象图形学报 21.5(2016):657-664.
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