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Change detection of man-made objects using very high resolution images

Posted on:2006-10-12Degree:M.ScType:Thesis
University:University of Calgary (Canada)Candidate:Phalke, SantoshFull Text:PDF
GTID:2458390008960117Subject:Geotechnology
Abstract/Summary:PDF Full Text Request
Most of the research in remote sensing is focused on developing well-defined and reliable automated processes for the extraction of information from different types of imagery. In this communication, we are dealing with the extraction of linear man-made objects (especially buildings) in urban areas and the determination of changes in these objects using very high resolution IKONOS imagery. The modern world needs accurate information about these changes for urban planning and Geospatial Information Systems updating.; Newly developed change detection approach is based on feature extraction using interesting points and edges. Linear rectangular features such as buildings can be defined by corner points and edges joining those corner points. The features have been extracted using different types of edge detectors and the Forstner corner detector (Forstner, 1994).; In order to discriminate linear man-made objects from other man-made objects (such as roads), it is necessary to link the corners and their corresponding edges for each linear man-made object. (Abstract shortened by UMI.)...
Keywords/Search Tags:Man-made, Using
PDF Full Text Request
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