计算机工程与应用2017，Vol.53Issue(9)：184-189,6.DOI:10.3778/j.issn.1002-8331.1510-0324
高分辨率光学遥感影像舰船检测算法研究
Ship detection algorithm research on high resolution optical remote sens-ing image
张雷 1甘春生 1胡宇1
作者信息
- 1. 沈阳航空航天大学 电子信息工程学院,沈阳 110136
- 折叠
摘要
Abstract
Ship detection algorithms applied to high-resolution optical remote sensing images are put forward. These algo-rithms are in order to solve the problem of high false alarm rate in traditional ship detection method in high-resolution op-tical remote sensing images. Two-dimensional image entropy which can describe the spatial texture feature is used to sepa-rate ocean and land combined with the principle of region growing. Visual saliency model is introduced in ship object seg-mentation. This method can solve the problem of unable to segment dark polarity ship target in ship target segmentation phase. The segmentation accuracy is higher in most background modes. Finally, in the segment candidate regions, multi-feature comprehensive method is adopted to eliminate false alarms. Results show that this method has higher detection rate and lower false alarm rate in ship target detection.关键词
遥感影像/目标分割/舰船检测/显著性/海陆分离Key words
remote sensing image/object segmentation/ship detection/saliency/sea-land segmentation分类
信息技术与安全科学引用本文复制引用
张雷,甘春生,胡宇..高分辨率光学遥感影像舰船检测算法研究[J].计算机工程与应用,2017,53(9):184-189,6.
