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Feng Ruan

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Proceedings Article | 30 August 2023 Paper

A superpixel-level CFAR method for nearshore ship detection in polarimetric SAR images based on GP-PNF

Shujie Wu, Jie Deng, Feng Ruan, Wei Wang, Hongqi Fan, Pengcheng Guo

Proceedings Volume 12797, 127971U (2023) https://doi.org/10.1117/12.3007444

KEYWORDS: Target detection, Image segmentation, Polarimetry, Synthetic aperture radar, Scattering

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In the detection of nearshore ships in polarimetric SAR (PolSAR) images, detecting ship targets becomes challenging when they are densely distributed or located in areas with strong sea clutter scattering. To achieve adaptive and accurate detection of nearshore ship targets in PolSAR images, this paper proposes an adaptive superpixel-level CFAR detection method based on the improved geometric perturbation polarimetric notch filter (GP-PNF). Firstly, the entire image is segmented into superpixels using the polarimetric SLIC method, and sea-land segmentation is performed utilizing the OTSU method. By employing an automatic censoring (AC) mechanism, superpixels containing pure clutter are selected to estimate the parameters. Following this, the improved GP-PNF is utilized to construct the statistical metric for detection. Finally, the detection results are obtained based on a new superpixel-level CFAR strategy and subsequent post-processing. Experimental results based on GF-3 full-polarization SAR data demonstrate that the proposed method is capable of accurately detecting nearshore ship targets in PolSAR images.

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