一种基于时域分解的ISAR图像理解与处理方法
A method of understanding and processing isar lmage based on time-frequency analysis
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摘要: 逆合成孔径雷达(ISAR)图像的自动理解是应用其进行自动目标识别(ATR)的基础。文中提出一种基于改进的自适应高斯表示(AGR)的ISAR图像理解与处理方法。该方法对目标ISAR图像中点散射与非点散射效应并存的现象给以有效的参数化的描述,进而消除非点散射在图像中造成的模糊展布,并提取到可用于目标识别的成像目标散射中心特征。基于飞机目标实测数据的实验验证了该方法的有效性。
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关键词:
- 逆合成孔径雷达; 时频分析; 散射中心
Abstract: 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. -
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