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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 the thick cloud, that is, the shadow of the cloudy cloud is more than that of the cloudless image. Finally, the extraction results are compared with the human-computer interaction, and the results extracted by the cloud shadow enhancement model method are compared 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.