SAR Ship Target Detection Based on 2D Singularity Power Spectrum
Gang Xiong, Fang Wang, Lijun Wang, Jin He · 2019
A novel SAR ship target detection method based on two-dimensional singularity power spectrum (2DSPS) analysis is proposed. The 2D-SPS of SAR images explores a variety of coupling features, including the dispersion of singularity exponent and the power distribution in the singularity domain, and has strong ability in feature extraction for SAR images of pure sea surface, false alarm at sea, small targets and multiple targets under the conditions of complex sea surface. The method of SAR target detection based on 2D-SPS are designed. Using the OpenSAR Dataset, in the background of sea clutter, the simulation results show that the proposed method performs better than the traditional method under the condition of extremely low SNR and strong false alarm, especially for small SAR targets and multiple SAR targets.