基于影像融合的IKONOS影像阴影信息自动提取方法

高分辨率卫星影像中的地物阴影是其特有的组成部分，如何有效地提取和利用这些阴影信息对于高分辨率卫星影像的应用是一个具有重要意义和实际价值的问题。本文提出在对IKONOS全色波段与多光谱的2、3、4波段进行基于IHS色度空间的影像融合的基础上，运用波谱角度映射表分类方法，对IKONOS影像中的阴影进行自动提取。试验结果表明该方法提取效果良好，平均精度可达85．3％。该方法为高分辨率卫星影像的阴影信息自动提取提供了一种有效途径。

A Shadow Automated Extraction Method of IKONOS Images Based on Image Fusion

Shadow is a special component of high resolution satellite images .To extract and utilize shadow's information effectively from images is an important and practical problem for the application of high resolution satellite images. A new shadow extraction method based on image fusion is proposed. Firstly,to use pan and multi-spectral data of IKONOS using the fusion algorithm based on IHS transformation, then to apply Spectral Angle Mapper (SAM) algorithm, thus to realize the shadow's automated extraction of IKONOS images. Experiments showed good results with an average accuracy of about 85.3%.This approach is an effective method for automated extraction of shadows in high resolution satellite images.