Automated assistance for delineation of large area cartographic features

Persistent Link:
http://hdl.handle.net/10150/277973
Title:
Automated assistance for delineation of large area cartographic features
Author:
DeKruger, David, 1960-
Issue Date:
1991
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The demand for maps and related cartographic products has increased greatly over the past years. This increase in the demand for cartographic products has greatly increased the work load for the cartographer because current practice requires the cartographer to manually identify and delineate the significant cartographic features from an image. The availability of digital image data has made it possible to use the computer to assist in the extraction and delineation of cartographic features. This research presents one approach to automating the delineation of large area features using neural networks for texture pattern classification.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Engineering, Electronics and Electrical.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College
Degree Grantor:
University of Arizona
Advisor:
Hunt, B. R.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleAutomated assistance for delineation of large area cartographic featuresen_US
dc.creatorDeKruger, David, 1960-en_US
dc.contributor.authorDeKruger, David, 1960-en_US
dc.date.issued1991en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe demand for maps and related cartographic products has increased greatly over the past years. This increase in the demand for cartographic products has greatly increased the work load for the cartographer because current practice requires the cartographer to manually identify and delineate the significant cartographic features from an image. The availability of digital image data has made it possible to use the computer to assist in the extraction and delineation of cartographic features. This research presents one approach to automating the delineation of large area features using neural networks for texture pattern classification.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectEngineering, Electronics and Electrical.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorHunt, B. R.en_US
dc.identifier.proquest1345611en_US
dc.identifier.bibrecord.b27056053en_US
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