Terrain classification from digital elevation data using slope and curvature information
Goodpasture, Brenda K.
McGhee, Robert B.
Zyda, Michael J.
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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.
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