Ship classification using the synthetic aperture radar (SAR) images has a significant role in remote sensing applications. Aiming at the problems of excessive model parameters numbers and high energy consumption in the traditional deep learning methods for the SAR ship classification. this paper provides an energy-efficient SAR ship classification paradigm that combines spiking neural... https://www.socialstudiesscholar.com/