Conventional classification procedures have several difficulties which sometimes limit the usefulness of computer aided analysis techniques on multispectral scanner data. In order to minimize some of these problems, the clustering algorithm used at ERIM (called CLUSTR) was adapted for use as a classifier. Briefly, the technique devised is to cluster the scene, assigning each pixel to a cluster, and then to identify the crop type of the clusters by examining training areas to determine the crop type of pixels assigned to each cluster. In this manner, the classification of each pixel to a particular crop class is accomplished.
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