摘要
提出了一种集成边缘和区域分割信息的目标识别方法,其目的是在中小比例尺的航空影像中提取集团式居民地。在实际的航空影像上的实验表明,融合区域分割和边缘信息能够提高居民地提取的准确率。
A method for residential areas extraction based on region data and edge images is proposed. The region-based segmentation always provides the closed contour regions and makes use of relatively large neighborhoods for decision making. To obtain the correct seg- mentation results of residential areas, the algorithm based on the densities and linear distributions of edge point sets is proposed. The experimental results on real aerial images shows that the proposed method fusing region and edge data can improve the accuracy of extraction for residential areas.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2006年第8期671-674,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金重点资助项目(40337055)
关键词
边缘提取
区域分割
居民地
融合
residential areas
region-based segmentation
edge features
fusion
