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):

Report Date:

1983-01-01

Pagination or Media Count:

136.0

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.

Subject Categories:

  • Theoretical Mathematics
  • Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE