Charaterization of densely arrayed targets patterns in high resolution SAR images: A study case in the Davis-Monthan air force base

摘要

This paper presents a new algorithm for recognizing patterns of densely arrayed targets in high resolution (HR) SAR images, serving the increasing demand for target detection and recognition in HR/VHR SAR images. The novelty of our work is to formulate the problem of pattern extarction as a jigsaw puzzle with similar target patches. Compared to existing work, our algorithm has multiple advantages, including: 1) extracting densely arrayed targets region from full scale SAR images automaticly; 2) predicting accurate displacement vector between neighboring similar patches; 3) synthetising an uniform target pattern with similar patches. These advantages are demonstratced by results of pattern extraction from a study case in the Davis-Monthan air force base.