A Radar Image Compression Algorithm Based on Machine Vision

摘要

Modern radars have high resolution and large data volume, and the echo contains a large amount of radar image data, this has caused great difficulties for the high-speed transmission and real-time storage of radar data. The existing radar compression algorithm has high complexity and cannot meet the real-time requirements. In response to this problem, through the analysis of the actual radar echo data, it is found that the data has the characteristics of strong correlation and short correlation length. On this basis, this article is based on machine vision and morphological image processing, by setting the neighborhood search range and priority, to improve the search method of the radar image target contour. Experimental tests show that this radar lossy compression algorithm has low complexity and real-time characteristics.