资源简介

摘要： 遥感影像中的山区阴影覆盖范围广、去除难度大、影响信息提取精度，通过最大值选取函数(Max)与波段比值构建阴影检测模型(Shadow Detection，SD)，结合坡度因子提取影像中山地阴影区域，并通过网格随机布置验证点验证精度；通过地面阴影亮度与阴影像元亮度变化规律，拟合影像阴影区亮度曲线模型，结合导函数，建立亮度恢复模型。对长汀县域的Landsat 8影像处理，获得的结果显示：山区阴影的提取精度为99.06%，Kappa系数为98%；聚类显示恢复区与非阴影属于同一类型；通过亮度恢复模型计算得出各个波段的阴影区域像元亮度平均值提升13%，标准差降低80%，距离系数降低96%，较ATCOR_3方法，像元亮度平均值提升6.7%，标准差降低73.7%，距离系数降低88.3%，较一元线性恢复方法，像元亮度平均值降低1.8%，标准差提升6.7%，距离系数降低90%。该方法在恢复山区阴影的过程中实现了不替换阴影像元，不干扰非阴影像元，能较好地保留阴影像元的光谱与亮度特征。  关键词： Max函数;  导函数;  阴影提取;  阴影恢复;  聚类分析     Abstract: Mountain region in remotely sensed imagery are usually covered by shadows，which reduce the accuracy of information extraction.Therefore，in this paper a method based on intensity restoration is putting forward necessarily.First，Shadow Detection (SD) was constructed by the Max function and the band ratio to identify shadows.Thus，mountain shadows were extracted combined with the slope factor and SD，through the grid randomly arranged verification point verification accuracy.Second，the intensity curve model of the shadow area was fitted by ground data of the shadow and the transition rules of pixel intensity from the shadow to non\|shaded area.Third，the intensity restoration model was established by the derivative function of intensity curve to remove shadows.The results of the model on Changting Landsat 8 imagery indicated the extraction accuracy of the mountain shadow was 99.06% and the Kappa coefficient was 98%；According to the cluster analysis，the restoration and non\|shaded samples were the same type；Processed by the intensity restoration model，the average intensity of the shadow was increased by 13%，and the standard deviation was reduced by 80% and the clustering distances was reduced by 96%.respectively，average intensity of the shadow increased by 6.7%，the standard deviation was reduced by 73.7% and the clustering distances was reduced by 88.3% when compared with ATCOR_3，and average intensity of the shadow reduced by 1.8%，the standard deviation was increased by 6.7% and the clustering distances was reduced by 90% when compared with unitary linear restoration model.In the process of removing the mountain shadows，the intensity restoration method is neither replacing the shaded pixels nor interference with non\|shaded pixels and could preserve the spectral and intensity characteristics of shaded pixels better.；

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