Abstract

Synthetic aperture radar (SAR) on a satellite or a plane is a useful tool for ship target detection because it can work in all weather conditions, day and night. However, speckles of sea clutters and heterogeneous sea regions in SAR images will pose challenges on a task of automatic ship detection. In this paper, we propose a visual saliency based method for ship detection in SAR images. The proposed method is automatic, simple and fast in computation, and has the ability to detect ship targets in SAR data. Experiments conducted over a set of real SAR data show that the proposed method is capable of detecting ships accurately and robust against speckles of sea clutters and heterogeneous sea regions.

Keywords:
Computer science Computer vision Artificial intelligence Synthetic aperture radar Radar imaging Remote sensing Geology Radar Telecommunications

Metrics

2
Cited By
0.42
FWCI (Field Weighted Citation Impact)
0
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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