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Proceedings Paper

Low-resolution ship detection from high-altitude aerial images
Author(s): Shengxiang Qi; Jianmin Wu; Qing Zhou; Minyang Kang
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Paper Abstract

Ship detection from optical images taken by high-altitude aircrafts such as unmanned long-endurance airships and unmanned aerial vehicles has broad applications in marine fishery management, ship monitoring and vessel salvage. However, the major challenge is the limited capability of information processing on unmanned high-altitude platforms. Furthermore, in order to guarantee the wide detection range, unmanned aircrafts generally cruise at high altitudes, resulting in imagery with low-resolution targets and strong clutters suffered by heavy clouds. In this paper, we propose a low-resolution ship detection method to extract ships from these high-altitude optical images. Inspired by a recent research on visual saliency detection indicating that small salient signals could be well detected by a gradient enhancement operation combined with Gaussian smoothing, we propose the facet kernel filtering to rapidly suppress cluttered backgrounds and delineate candidate target regions from the sea surface. Then, the principal component analysis (PCA) is used to compute the orientation of the target axis, followed by a simplified histogram of oriented gradient (HOG) descriptor to characterize the ship shape property. Finally, support vector machine (SVM) is applied to discriminate real targets and false alarms. Experimental results show that the proposed method actually has high efficiency in low-resolution ship detection.

Paper Details

Date Published: 19 February 2018
PDF: 8 pages
Proc. SPIE 10608, MIPPR 2017: Automatic Target Recognition and Navigation, 1060805 (19 February 2018); doi: 10.1117/12.2282780
Show Author Affiliations
Shengxiang Qi, China National Aeronautical Radio Electronics Research Institute (China)
Jianmin Wu, China National Aeronautical Radio Electronics Research Institute (China)
Qing Zhou, China National Aeronautical Radio Electronics Research Institute (China)
Minyang Kang, China National Aeronautical Radio Electronics Research Institute (China)


Published in SPIE Proceedings Vol. 10608:
MIPPR 2017: Automatic Target Recognition and Navigation
Jianguo Liu; Jayaram K. Udupa; Hanyu Hong, Editor(s)

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