利用阴影在色调亮度饱和度颜色空间中低亮度、高色调和高饱和度的特性, 对高分辨率遥感影像做过分割处理, 并将影像从红、绿、蓝颜色空间转换到色调、亮度、饱和度颜色空间, 利用色调、亮度、饱和度三个分量构造一组能够更好区分阴影和其他地物的新型阴影探测指标.对阴影指标做面向对象处理, 得到一种保持空间几何形状的阴影指标结果；根据最大类间方差法计算得到最佳阈值, 并做直方图阈值分割, 最终得到阴影探测结果.实验结果表明, 该方法可以有效地将阴影与其他地物分离开来.

The shadow areas have the characters of lower brightness, higher saturation and greater hue value. Over-segmentation of the high resolution remote sensing image was operated, and the red, green and blue color image was transformed to the hue, intensity and saturation space. A shadow index was calculated using the hue, intensity and saturation, which could separate shadow from other classes. An object-oriented processing was performed on the shadow index results, which could keep the spatial geometry information of image. OSTU algorithm is used to choose a suitable threshold value. With the threshold value, the shadow detection results could be acquired by the histogram thresholding segmentation algorithm. Experimental results demonstrate that the proposed approach can be used to separate shadow from other classes effectively.