A new algorithm for recognizing vehicle group targets in high-resolution SAR images

Abstract

A new algorithm for recognizing vehicle group targets in high-resolution SAR images has been given. This algorithm consists of two stages. At the pretreatment stage for images, the despeckling and segmentation for SAR images have been achieved by means of multi-look CFAR statistic detection and morphological processing for SAR images and the probable target chips are gained. The morphological multi-look filtering operators and target information resumption approach are developed and then the excellent image segmentation effect is implemented. At the target recognition stage, a group of individual and combinatorial invariable features, which can rightly express vehicle group targets in SAR images, are found. Individual vehicle targets are recognized by using individual features and the corresponding target classifying and recognizing approaches. Then the vehicle target arrays are found by using combinatorial invariable features and line detection approach. The method of parameter selection and the optimal parameters are also given. The recognition results for vehicle group targets have been shown.