摘要
在高分辨率卫星影像的预处理上,阴影的提取与校正是一个难题,本文根据实际需要,采取不同的方法对建筑物阴影和山体阴影进行提取,并采用不同的校正方法进行校正。对城区建筑物阴影,采用基于影像融合的IKONOS影像阴影自动提取方法对阴影进行提取,再采用郎伯模型进行校正;对山体阴影,直接采用监督分类的方法对山体阴影进行提取,再采用灰度线性匹配的方法进行校正。实验表明,分开提取与校正的策略能取得较为理想的效果。
The extraction and rectification of shadow is a big problem in the pro-precessing of high resolution satellite image. This paper adopts different method to extract and rectify mountain shadow and building shadow. For the building shadow in downtown area, it adopts the Shadow Automated Extraction Method of IKONOS Images Based on Image Fusion to extract and the Lamber model to rectify ; for the mountain shadow, directly it adopts supervised classification method to extract and histogram linear matching method to rectify. The experiment shows the strategy can obtain an ideal result by adapting the strategy of separately extraction and rectification.
出处
《测绘与空间地理信息》
2006年第3期103-106,120,共5页
Geomatics & Spatial Information Technology
