Fast Vessel Detection in Gaofen-3 SAR Images with Ultrafine Strip-Map Mode
AbstractThis study aims to detect vessels with lengths ranging from about 70 to 300 m, in Gaofen-3 (GF-3) SAR images with ultrafine strip-map (UFS) mode as fast as possible. Based on the analysis of the characteristics of vessels in GF-3 SAR imagery, an effective vessel detection method is proposed in this paper. Firstly, the iterative constant false alarm rate (CFAR) method is employed to detect the potential ship pixels. Secondly, the mean-shift operation is applied on each potential ship pixel to identify the candidate target region. During the mean-shift process, we maintain a selection matrix recording which pixels can be taken, and these pixels are called as the valid points of the candidate target. The
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Pan, Z.; Liu, L.; Qiu, X.; Lei, B. Fast Vessel Detection in Gaofen-3 SAR Images with Ultrafine Strip-Map Mode. Sensors 2017, 17, 1578.
Pan Z, Liu L, Qiu X, Lei B. Fast Vessel Detection in Gaofen-3 SAR Images with Ultrafine Strip-Map Mode. Sensors. 2017; 17(7):1578.Chicago/Turabian Style
Pan, Zongxu; Liu, Lei; Qiu, Xiaolan; Lei, Bin. 2017. "Fast Vessel Detection in Gaofen-3 SAR Images with Ultrafine Strip-Map Mode." Sensors 17, no. 7: 1578.
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