Presented here is an algorithm that partitions a digitized multispectral image into parts that correspond to objects in the scene being sensed. The algorithm partitions an image into successively smaller rectangles and produces a partition that tends to minimize a criterion function.

Supervised an~ unsupervised classification techniques can be applied to partitioned images. This partition- then-classify approach is used to process images sensed from aircraft and the ERTS-1 satellite, and the method 1s shown to give relatively accurate results in classifying agricultural areas and extracting urban areas.

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