摘要
从基于象素的 SAR图象分类和基于邻域的 SAR图象分类特点出发 ,提出了一种基于边缘检测的SAR图象分类融合方法。该方法既保留了图象的边缘 ,避免了以往图象分类中出现的边缘模糊问题 ,又有效地对图象进行了区域划分。
From the characteristic of SAR image classifications based on pixel level and region level,this paper provides a fusion method for SAR image classifications based on edge-detection. This method not only preserves the edge of the image, avoids the problem of edge blurring in image classification, but also is effective in region division.
出处
《现代雷达》
CSCD
北大核心
2000年第6期40-43,共4页
Modern Radar
基金
国家863计划信息获取与处理主题资助项目
关键词
SAR
分类
融合
边缘检测
SAR
classification
fusion
edge detection
