摘要
SAR目标分类识别是现代战场侦察的重要组成部分,SAR目标分类问题是目标识别的关键步骤之一,对目标识别等很多后续的应用有较大的影响,因此研究SAR图像目标分类技术具有非常重要的意义。针对这一研究热点,结合MSE匹配方法和超分辨Burg算法,提出一种两步分类器,采用该两步分类器对实测SAR图像进行了目标分类识别实验,取得较好的识别效果。
SAR ATR is an important aspect of military reconnaissance,and target classification of SAR images is one of the key techniques. The performance of ATR is directly affected by the target classification result,thus the study on target classification in SAR images is valued and significant. This paper achieves significant improvement in target-recognition performance by using a superresolution image processing technique that enhances SAR image resolution and image quality prior to performing target recognition. A computationally efficient two-stage template-based classifier is used to perform the targetrecognition function. It quantifies the improvement in target-recognition performance achieved by using superresolution image processing in the ATR system.
出处
《信息技术》
2015年第8期104-107,112,共5页
Information Technology
关键词
SAR
目标识别
超分辨算法
分类器
SAR
ATR
superresolution image processing technique
classifier
