LARS Tech Report Number
101873
Abstract
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 and 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 is shown to give relatively accurate results in classifying agricultural areas and extracting urban areas.
Date of this Version
January 1973
COinS