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针对现有的遥感影像厚云阴影监测方法存在过程复杂、精度不高等问题,该文提出一种TM影像厚云阴影检测方法:通过阈值分割提取影像中的所有阴影;对比一幅近时相的无云影像,分离出厚云的阴影,即云阴影为“有云”影像比“无云”影像多出的阴影;最后将提取结果与人机交互、云阴影增强模型法提取的结果进行对比分析。实验结果表明该方法提取精度较高,可以快速、准确地提取TM影像中的厚云阴影。
Aiming at the problems of the existing thick cloud shadow monitoring methods of remote sensing images, such as complicated process and low accuracy, this paper proposes a thick cloud shadow detection method for TM images: all the shadows in the image are extracted by threshold segmentation; Cloudless image, separating the shadow of thick cloud, that is, the shadow of cloud is the shadow of “cloud” more than “cloudless” image; finally, the result of extraction is interacted with human-computer, The results of comparative analysis. The experimental results show that the method has high extraction accuracy, and can quickly and accurately extract the thick cloud shadow in TM images.