Accession Number : ADA139124
Title : A Constrained-Clustering Approach to the Analysis of Remote Sensing Data.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH
Personal Author(s) : Ryan,C J
PDF Url : ADA139124
Report Date : Jan 1983
Pagination or Media Count : 136
Abstract : One old and two new clustering methods were applied to the constrained-clustering problem of separating different agricultural fields based on multispectral remote sensing satellite data. (Constrained-clustering involves double clustering in multispectral measurement similarity and geographical location.) The results of applying the three methods are provided along with a discussion of their relative strengths and weaknesses and a detailed description of their algorithms.
Descriptors : *Algorithms, *Clustering, *Remote detectors, Data processing, Image processing, Agriculture, Methodology, Comparison, Multispectral, Measurement, Theses
Subject Categories : Theoretical Mathematics
Distribution Statement : APPROVED FOR PUBLIC RELEASE