Terrain Classification from Digital Elevation Data Using Slope and Curvature Information

Abstract

Over the past few decades man has concentrated considerable effort in deriving algorithms that can classify terrain in a manner similar to the human visual system. If an implementable algorithm were obtained, man could use this algorithm to add vision to autonomous land vehicles. The scope of this study is to develop a database from digital elevation data representative of terrain an autonomous land vehicle would traverse and from this database use a two- dimensional algorithm to classify the terrain represented by that data. Keywords: Artificial intelligence; Robotics.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA188940

Entities

People

  • Brenda K. Goodpasture

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • California
  • Classification
  • Compression
  • Computer Graphics
  • Computer Programs
  • Computer Science
  • Computers
  • Curvature
  • Data Compression
  • Databases
  • Digital Data
  • Geography
  • Lisp Programming Language
  • Schools
  • United States
  • United States Military Academy

Readers

  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Autonomy