Ship Detection in Visible Remote Sensing Image Based on Saliency Extraction and Modified Channel Features

doi:10.3390/rs14143347

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Ship Detection in Visible Remote Sensing Image Based on Saliency Extraction and Modified Channel Features
	Y. Tian; J. H. Liu; S. J. Zhu; F. Xu; G. B. Bai and C. L. Liu
刊名	Remote Sensing
	2022
卷号	14 期号:14 页码:28
DOI	10.3390/rs14143347
英文摘要	Ship detection in visible remote sensing (VRS) images has been widely used in the military and civil fields. However, the various backgrounds and the variable scale and orientation bring great difficulties to effective detection. In this paper, we propose a novel ship target detection scheme based on small training samples. The scheme contains two main stages: candidate region extraction and ship identification. In the first stage, we propose a visual saliency detection model based on the difference in covariance statistical characteristics to quickly locate potential ships. Moreover, the multi-scale fusion for the saliency model is designed to overcome the problem of scale variation. In the second stage, we propose a three-channel aggregate feature, which combines a rotation-invariant histogram of oriented gradient and the circular frequency feature. The feature can identify the ship target well by avoiding the impact of its rotation and shift. Finally, we propose the VRS ship dataset that contains more realistic scenes. The results on the VRS ship dataset demonstrate that the saliency model achieves the best AUC value with 0.9476, and the overall detection achieves a better performance of 65.37% in terms of AP@0.5:0.95, which basically meets the need of the detection tasks.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/67074]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y. Tian,J. H. Liu,S. J. Zhu,et al. Ship Detection in Visible Remote Sensing Image Based on Saliency Extraction and Modified Channel Features[J]. Remote Sensing,2022,14(14):28.
APA	Y. Tian,J. H. Liu,S. J. Zhu,F. Xu,&G. B. Bai and C. L. Liu.(2022).Ship Detection in Visible Remote Sensing Image Based on Saliency Extraction and Modified Channel Features.Remote Sensing,14(14),28.
MLA	Y. Tian,et al."Ship Detection in Visible Remote Sensing Image Based on Saliency Extraction and Modified Channel Features".Remote Sensing 14.14(2022):28.