Ship Detection in Panchromatic Optical Remote Sensing Images Based on Visual Saliency and Multi-Dimensional Feature Description

doi:10.3390/rs12010152

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 Panchromatic Optical Remote Sensing Images Based on Visual Saliency and Multi-Dimensional Feature Description
	T. Nie,X. Y. Han,B. He,X. S. Li,H. X. Liu and G. L. Bi
刊名	Remote Sensing
	2020
卷号	12 期号:1 页码:24
DOI	10.3390/rs12010152
英文摘要	Ship detection in panchromatic optical remote sensing images is faced with two major challenges, locating candidate regions from complex backgrounds quickly and describing ships effectively to reduce false alarms. Here, a practical method was proposed to solve these issues. Firstly, we constructed a novel visual saliency detection method based on a hyper-complex Fourier transform of a quaternion to locate regions of interest (ROIs), which can improve the accuracy of the subsequent discrimination process for panchromatic images, compared with the phase spectrum quaternary Fourier transform (PQFT) method. In addition, the Gaussian filtering of different scales was performed on the transformed result to synthesize the best saliency map. An adaptive method based on GrabCut was then used for binary segmentation to extract candidate positions. With respect to the discrimination stage, a rotation-invariant modified local binary pattern (LBP) description was achieved by combining shape, texture, and moment invariant features to describe the ship targets more powerfully. Finally, the false alarms were eliminated through SVM training. The experimental results on panchromatic optical remote sensing images demonstrated that the presented saliency model under various indicators is superior, and the proposed ship detection method is accurate and fast with high robustness, based on detailed comparisons to existing efforts.
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/181722/64878]
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	T. Nie,X. Y. Han,B. He,X. S. Li,H. X. Liu and G. L. Bi. Ship Detection in Panchromatic Optical Remote Sensing Images Based on Visual Saliency and Multi-Dimensional Feature Description[J]. Remote Sensing,2020,12(1):24.
APA	T. Nie,X. Y. Han,B. He,X. S. Li,H. X. Liu and G. L. Bi.(2020).Ship Detection in Panchromatic Optical Remote Sensing Images Based on Visual Saliency and Multi-Dimensional Feature Description.Remote Sensing,12(1),24.
MLA	T. Nie,X. Y. Han,B. He,X. S. Li,H. X. Liu and G. L. Bi."Ship Detection in Panchromatic Optical Remote Sensing Images Based on Visual Saliency and Multi-Dimensional Feature Description".Remote Sensing 12.1(2020):24.