EXTRACTION OF INSHORE VESSELS IN VERY HIGH RESOLUTION SAR IMAGES

被引：0
|
作者：
Zhao, Guangjiao [1 ]
Zhang, Ye [1 ]
Li, Qi [1 ]
机构：
[1] Harbin Inst Technol, Dept Informat Engn, Harbin, Heilongjiang, Peoples R China
来源：
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年
关键词：
SAR image; vessel extraction; saliency based method; blank filling; SHIP DETECTION;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
In very high resolution (VHR) SAR images, traditional method failed to accurately and completely extract vessels because of the holes and fractures in the target body in addition to the interference of adjacent objectives. In this paper, a saliency method based on SLIC (simple linear iteration clustering) segmentation is adopted to detect the targets, and the salient results are further post-processing to remove the false alauns and fill the blanks in the target body. Experimental results on Terra-SAR images demonstrate that the proposed approach can maintain the integrity of vessel and decrease the false alaun rate.
引用
收藏
页码：1852 / 1855
页数：4
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