论文信息 - Boundaries in multispectral imagery by clustering

Boundaries in multispectral imagery by clustering

In classifying multispectral, digitized, pictorial data it is necessary to locate spatial boundaries in the data to assist the researcher in the selection of training and test samples. Applications also exist in the areas of data compression, information storage and retrieval, sample classification schemes and image registration.

David A. Landgrebe | Arthur G. Wacker | A. G. Wacker | D. Landgrebe

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