The use of the modified Cholesky decomposition in divergence and classification calculationsThis report analyzes the use of the modified Cholesky decomposition technique as applied to the feature selection and classification algorithms used in the analysis of remote sensing data (e.g., as in LARSYS). This technique is approximately 30% faster in classification and a factor of 2-3 faster in divergence, as compared with LARSYS. Also numerical stability and accuracy are slightly improved. Other methods necessary to deal with numerical stability problems are briefly discussed.
Document ID
19740034819
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Van Rooy, D. L.
Lynn, M. S.
Snyder, C. H. (Rice University Houston, Tex., United States)
Date Acquired
August 7, 2013
Publication Date
January 1, 1973
Subject Category
Computers
Meeting Information
Meeting: Conference on Machine processing of remotely sensed data