Linear Filtering Models for Terrain Image Segmentation.

Abstract

A method for modeling images of natural terrain is developed and applied to the segmentation of aerial photographic data. An underlying stochastic structure based on linear filtering concepts provides a means of modeling the terrain in local areas of the image. Superimposed on this is a Markov random field that describes transitions from regions of one terrain type to another. Maximum likelihood and maximum a posteriori estimation is applied to estimate regions of similar terrain. Results of application to digitized aerial photographs of a rural area are presented and discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 04, 1981
Accession Number
ADA099034

Entities

People

  • Charles W. Therrien

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerial Photographs
  • Algorithms
  • Computer Vision
  • Filters
  • Filtration
  • Image Segmentation
  • Images
  • Linear Filtering
  • Markov Chains
  • Photographs
  • Photography
  • Probability
  • Probability Density Functions
  • Random Variables
  • Signal Processing
  • Transitions
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.