Cluster Analysis Algorithms for Image Segmentation.

Abstract

The goal of this research is the investigation of the ability of certain cluster techniques to segment monochromatic data collected by remote sensing devices. The particular example that will be considered consists of temperature data collected by the Air Force Geophysical Laboratory at Hanscom Air Force Base. The work was done on three levels: underlying motivations, simulations, and real data analysis. In this particular paper, we shall restrict our consideration to a single feature, with multiple feature selection to be investigated at a later date. Section 2 presents the motivation for both the cluster techniques and the statistics that they use, while section 3 briefly explains the techniques. In section 4, some simulated data is analyzed, and in section 5, the techniques are applied to actual infrared temperature data. The paper concludes with an indication of possible future directions for the current research effort.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1981
Accession Number
ADA107110

Entities

People

  • M. F. Janowitz

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Algorithms
  • Artificial Intelligence
  • Computer Vision
  • Data Analysis
  • Data Science
  • Feature Selection
  • Image Segmentation
  • Mathematics
  • Motivation
  • Remote Sensing
  • Statistics

Readers

  • Computer Vision.
  • Systems Analysis and Design