利用边界点和半色调信息识别卫星图像上的海岸线

S. Semenov, N. A. Abushenko, A. S. Chichigin
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引用次数: 3

摘要

编写了利用半色调(边缘)和边界(轮廓)点信息在卫星图像上识别海岸线的算法,这是识别湖泊、河流等过程的第一步。首先在图像上区分不同形态的区域,然后将该图像分解为与图像上存在的特征相对应的区域。卫星图像上的物理信息也用于选择执行这种程序时所用的初始点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DISCRIMINATION OF SHORELINES ON SATELLITE IMAGES FROM BOUNDARY-POINT AND HALFTONE INFORMATION
Algorithms are written for discriminating shorelines on satellite images using halftone (edge) and boundary (contour)-point information, this being the first stage in the process of identifying lakes, rivers, etc. Areas of distinctive morphometry are first discriminated on the image and this image is then broken down into regions corresponding to the features present on the image. The physical information present on satellite images also is used to select the initial points used in the performance of such a procedure.
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