Terrain classification from digital elevation data using slope and curvature information
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Authors
Goodpasture, Brenda K.
Subjects
Terrain classification
Artificial intelligence
Robotics
Artificial intelligence
Robotics
Advisors
McGhee, Robert B.
Date of Issue
1987-12
Date
December 1987
Publisher
Language
en_US
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 applications
of autonomous land vehicles are numerous. Movement of large military equipment to previously inaccessible areas and the exploration of unknown areas are examples. The scope of this study is to develop a database from digital elevation data representive 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.
Type
Thesis
Description
Series/Report No
Department
Computer Science
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
United States Army Combat Developments Experimentation Center (USACDEC)
Funder
ATEC 88-86
Format
55 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.