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针对遥感影像处理中阴影检测和信息补偿不准确的问题,该文在研究已有阴影检测算法的基础上,结合资源三号(ZY-3)影像数据的特性,构建了阴影检测方法:首先对原始图像分别做差值运算和主成分变换,并利用多峰阈值自动提取算法检测出阴影区域;其次将差值运算提取的粗阴影区域与主成分变换提取的阴影区域做并运算生成一个新的阴影区域;然后判断影像中是否含有水体,如果含有水体则利用多峰阈值自动提取算法检测出水体并与新合并的阴影区域影像做布尔运算得到完整的阴影区域,反之则新合并的区域即为完整的阴影区域。实验结果表明该方法针对ZY-3具有较好的普适性、较高的提取精度和提取效率。
Aiming at the problem of inaccurate shadow detection and information compensation in remote sensing image processing, this paper builds a shadow detection method based on the existing shadow detection algorithm and the characteristics of ZY-3 image data. Firstly, The original images are respectively subjected to difference calculation and principal component transformation, and the multi-peak threshold automatic extraction algorithm is used to detect the shaded area. Secondly, the coarse shaded area extracted by the difference operation and the shaded area extracted by the principal component transformation are calculated to generate a new And then determine whether the image contains water, if the water contains the use of multi-peak threshold automatic extraction algorithm to detect water and the new merged shadow area image Boolean operation to get a complete shadow area, otherwise the new merged area is Full shadow area. The experimental results show that this method has better generality, higher extraction precision and extraction efficiency for ZY-3.