A method of understanding and processing isar lmage based on time-frequency analysis
一种基于时域分解的ISAR图像理解与处理方法

The basic and major difficulty in Automatic Target Recognition(ATR) based on the Inverse Synthetic Aperture Radar (ISAR) image is to automatically understand the ISAR images. A method of understanding and processing ISAR image is presented, which is based on the time-frequency analysis algorithm - improved Adaptive Guassian Representation(AGR). By parameterizing the point-scattering and dispersive-scattering mechanisms exiting in the target ISAR image, the dispersive-scattering effect is removed to improve the image quality, and extract features of scattering centers on the target which is useful to ATR. The efficiency and feasibility of the method is confirmed by the test based on the real data of airplane.