Adaptive and efficient imaging processing algorithm for sliding spotlight SAR based on chirp scaling

With the development of Synthetic Aperture Radar (SAR) technology, the sliding spotlight mode has become an important imaging mode for SAR due to its characteristics of balancing azimuth resolution and azimuth swath width. Based on the DCS algorithm, this paper utilizes the method similar to the SPECAN (SPECtral ANalysis) to solve the time domain aliasing phenomenon. By using this method, the problem of excessive zero-padding multiples in the DCS algorithm is avoided, computational resources are saved, and processing efficiency is improved. Furthermore, by comparing the time complexity of the two algorithms, this paper provides judgment conditions for the selection of algorithms, thus enabling the adaptive choice of a more efficient processing method. Finally, the paper validates the proposed method's efficacy through empirical tests using both simulated and real data.