Context distribution estimation for contextual classification of multispectral image dataA classification algorithm incorporating contextual information in a general, statistical manner is presented. Methods are investigated for obtaining adequate estimates of the context distribution (a statistical characterization of context) upon which the classification algorithm depends. Finally, a method of estimating optimal algorithm parameters prior to performing preliminary classifications is explored.
Document ID
19810061637
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Tilton, J. C. (Purdue Univ. West Lafayette, IN, United States)
Swain, P. H. (Purdue Univ. West Lafayette, IN, United States)
Vardeman, S. B. (Purdue University West Lafayette, IN, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1980
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Annual Symposium on Machine processing of remotely sensed data and soil information systems and remote sensing and soil survey