高分辨率遥感影像上居民地半自动提取研究
Semi-automatic Extraction Technique of Residential Area in High Resolution Remote Sensing Image
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摘要: 设计了一种基于3×3区域灰度方差纹理特征的高分辨率遥感影像居民地特征分析算法,通过高斯模糊处理提高影像上居民地区域纹理特征一致性的同时,加大了其同背景地物纹理特征值的差异,并设计了相应的居民地自适应分割阈值求取算法,提出了针对居民地与道路提取分离的骨架化分析算法。Abstract: A residential area texture description based on the 3 ×3 region grey deviations is designed, and the Gauss blur is applied to make the residential area in the texture feature image possessing accordant grey value and limited contrast relative to the background area so as to obtain self-adaptive threshold for image segmentation.And a skeleton processing is proposed to eliminate the road from the residential area.The experiment results show that this technique is very simple and effective to the semi-automatic extraction of the residential areas and can meet the precision requirement of the mapping and surveying with satellite images.