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根据高分辨率遥感影像阴影区域的性质,基于主成分变换和HIS模型,提出一种检测阴影的阴影指数SI(Shadow Index)。选取两个试验区,分别采用Polidorio算法、归一化阴影指数(NDUI)和SI进行阴影检测和比较分析,结果表明SI能够有效地区分阴影区域与水体和偏蓝色地物。提取3种算法的直方图得出,SI图像的直方图具有两个波峰一个波谷形状,能够更好地采用直方图阈值法分割阴影区和非阴影区。实验表明该方法简单有效。
According to the properties of shaded areas of high resolution remote sensing images, a shadow index (Shadow Index) is proposed based on principal component transformation and HIS model. Polixorio algorithm, NDUI and SI were used to detect and compare the shadow areas respectively. The results show that SI can effectively distinguish the shadow area from the water body and the blue-earth features. Histograms extracted from the three algorithms show that the histogram of the SI image has two wave crests and a trough shape, and the histogram thresholding method can be used to segment the shadowed area and the non-shadowed area better. Experiments show that the method is simple and effective.