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
      Optics

Distribution Statement : APPROVED FOR PUBLIC RELEASE