A Comparison of Classification Techniques in Environmental Applications of Remote Sensing

Abstract

This paper provides a comparison of remote sensing classification techniques as an extension of the environmental applications of remote sensing using Landsat data. It explores the history of remotes sensing, the principles of electromagnetic energy, and the general steps involved in remote sensing. Further, it describes the remote sensing features of Landsat 4, and 5. Finally, it applies classification techniques using Idrisi software.

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Document Details

Document Type
Technical Report
Publication Date
Oct 26, 1998
Accession Number
ADA356318

Entities

People

  • Melanie P. Bean

Organizations

  • University of Colorado, at Colorado Springs

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Cameras
  • Classification
  • Detection
  • Detectors
  • Distortion
  • Electromagnetic Radiation
  • Electromagnetic Spectra
  • Image Processing
  • Moisture Content
  • Photographs
  • Photography
  • Remote Sensing
  • Scattering
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Visible Spectra

Readers

  • Atmospheric Remote Sensing.
  • Computer Vision.