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Proceedings Paper

Region of interest detection on the complex sea scenes based on visual saliency
Author(s): Junqi Liu; Zhi Li; Xueyang Zhang; Pengju Li; Yiqiao Xu
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Paper Abstract

The ship detection technology has important civil and military value. Aiming at the problem of low accuracy of ship detection in complex sea scenes, a candidate region detection algorithm of maritime ship based on FT and Scharr is proposed. The FT saliency model can effectively suppress the background noise and highlight the central region of the target, but the detection effect of small target is poor. Scharr edge detection operator can highlight the edges of all salient targets, but it is easy to introduce background noise. The saliency maps obtained by FT and Scharr is fused by gaussian mixture function, so as to highlight the salient target and suppress the background noise. Finally, the region of interest is obtained by region extraction method. The detection results show that the fusion model can effectively suppress the background noise of the sea surface, and highlight the ship targets of all sizes, and has good effect in different complex sea scenes.

Paper Details

Date Published: 31 January 2020
PDF: 10 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114274C (31 January 2020); doi: 10.1117/12.2553205
Show Author Affiliations
Junqi Liu, Space Engineering Univ. (China)
Zhi Li, Space Engineering Univ. (China)
Xueyang Zhang, Space Engineering Univ. (China)
Pengju Li, Space Engineering Univ. (China)
Yiqiao Xu, Space Engineering Univ. (China)
Beijing Institute of Remote Sensing Information (China)

Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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