基于小波变换的高分辨SAR港口目标自动分割

AUTOMATIC SEGMENTATION AND RECOGNITIN OF PORTS IN HIGH RESOLUTION SAR IMAGES

根据图像边缘检测的思路 ,在研究SAR图像特性的基础上 ,提出了一种高分辨SAR图像中港口目标的自动分割算法 ,并将小波分析成功地应用在预滤波和去噪以及真伪目标识别上 ,取得了良好的检测效果 .

Based on analysis of the features of SAR images, a novel algorithm for automatic segmentation of ports in high resolution SAR images was proposed according to the idea of detecting the targets along the edges of the image. At the same time, wavelet analysis was successfully used in pre filtering, denoising and recognition of real and false targets, and good segmentation results are thus obtained.