Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/11356
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dc.contributor.authorGraff, Linda H.-
dc.date.accessioned2016-06-20T14:18:17Z-
dc.date.available2016-06-20T14:18:17Z-
dc.date.issued1992-08-
dc.identifier.urihttp://hdl.handle.net/11681/11356-
dc.descriptionTechnical report-
dc.descriptionAbstract: This study addresses a two-class problem in automatic terrain classification. The basic-level terrain feature selected for initial delineation is a "mount" - an aggregation of elevated features including hills, mountains, and ranges. All remaining areas are classified collectively as "non-mount." A method was developed to partition digital elevation models (DEMs) into mount and non-mount areas automatically. Then, the developed method is compared to those results obtained by a manual classification of synthetic stereo images produced from the same digital elevation data. The results of this work suggest that it may be possible to replicate the manual identification of mounts in certain physiographic regions. However, the general utility of the mount/non-mount classification approach appears to be limited by the nature of the regional terrain and by the quality of available digital data.-
dc.publisherU.S. Army Topographic Engineering Center.-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1045916-
dc.relation.ispartofseriesTEC ; 0013.-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created from scans of the Print Resource.-
dc.subjectTerrain analysis-
dc.subjectAutomated terrain classification-
dc.subjectTerrain reasoning-
dc.subjectGeomorphology-
dc.subjectGeomorphometry-
dc.subjectDigital elevation data-
dc.titleAutomated classification of basic-level terrain features in digital elevation models-
dc.typeReporten_US
Appears in Collections:Technical Report

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