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Article

Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images

1
Research Center for Space Optical Engineering, Harbin Institute of Technology, Harbin 150001, China
2
Provincial Key Lab of Information Coding and Transmission, Southwest Jiaotong University, Chengdu 610031, China
3
Remote Sensing Laboratory, Department of Information Engineering and Computer Science, University of Trento, 38123 Trento, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Remote Sens. 2020, 12(20), 3370; https://doi.org/10.3390/rs12203370
Received: 22 September 2020 / Revised: 9 October 2020 / Accepted: 11 October 2020 / Published: 15 October 2020
Automatic ship detection in complicated maritime background is a challenging task in the field of optical remote sensing image interpretation and analysis. In this paper, we propose a novel and reliable ship detection framework based on a visual saliency model, which can efficiently detect multiple targets of different scales in complex scenes with sea clutter, clouds, wake and islands interferences. Firstly, we present a reliable background prior extraction method adaptive for the random locations of targets by computing boundary probability and then generate a saliency map based on the background prior. Secondly, we compute the prior probability of salient foreground regions and propose a weighting function to constrain false foreground clutter, gaining the foreground-based prediction map. Thirdly, we integrate the two prediction maps and improve the details of the integrated map by a guided filter function and a wake adjustment function, obtaining the fine selection of candidate regions. Afterwards, a classification is further performed to reduce false alarms and produce the final ship detection results. Qualitative and quantitative evaluations on two public available datasets demonstrate the robustness and efficiency of the proposed method against four advanced baseline methods. View Full-Text
Keywords: ship detection; visual saliency; background prior; foreground constraint; optical remote sensing ship detection; visual saliency; background prior; foreground constraint; optical remote sensing
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MDPI and ACS Style

Hu, J.; Zhi, X.; Zhang, W.; Ren, L.; Bruzzone, L. Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images. Remote Sens. 2020, 12, 3370. https://doi.org/10.3390/rs12203370

AMA Style

Hu J, Zhi X, Zhang W, Ren L, Bruzzone L. Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images. Remote Sensing. 2020; 12(20):3370. https://doi.org/10.3390/rs12203370

Chicago/Turabian Style

Hu, Jianming, Xiyang Zhi, Wei Zhang, Longfei Ren, and Lorenzo Bruzzone. 2020. "Salient Ship Detection via Background Prior and Foreground Constraint in Remote Sensing Images" Remote Sensing 12, no. 20: 3370. https://doi.org/10.3390/rs12203370

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