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针对水体、偏蓝色地物会影响阴影检测精度这一问题,该文提出了一种基于WorldView-2影像的城市高大地物阴影检测方法。首先,在统计分析阴影及典型地物光谱值的基础上,对C1C2C3色彩不变空间中的C3分量利用直方图阈值法分割阴影区域和非阴影区域,分离后的阴影区域中包含了绿色植被信息;然后,利用多波段运算提取植被信息;其次,对最初的阴影植被混合区域和植被区域做逻辑差运算,得到目标阴影区域;最后,对阴影提取结果进行小区域去除和形态学滤波等后处理。实验结果表明,该方法针对WorldView-2影像具有普适性,能够有效避免水体、偏蓝色地物的影响,能够精确、快速地检测阴影区域。
In view of the problem that the water body and the partial blue objects will affect the shadow detection accuracy, this paper presents a method for the shadow detection of the urban high places based on WorldView-2 images. Firstly, based on the statistical analysis of the shadow and the spectral values of typical objects, the histogram threshold method is used to segment the C3 component in the C1C2C3 color-invariant space into shaded areas and non-shaded areas. The shaded areas contain the green vegetation information Secondly, extract the vegetation information from the original shadow vegetation mixed area and the vegetation area, and get the target shadow area. Finally, the shadow extraction result is processed after small area removal and morphological filtering . The experimental results show that the proposed method is universally applicable to WorldView-2 images and can effectively avoid the influence of water bodies and blue-earth features, and can detect shaded areas accurately and rapidly.