Automated segmentation of urban features from landsat thematic mapper imagery for use in pseudoinvariant feature temporal image normalization

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dc.contributor.advisor Schott, John
dc.contributor.advisor Easton, Roger
dc.contributor.advisor Engeldrum, Peter
dc.contributor.author Salvaggio, Carl
dc.date.accessioned 2010-02-03T21:17:57Z
dc.date.available 2010-02-03T21:17:57Z
dc.date.issued 1987-05
dc.identifier.uri http://hdl.handle.net/1850/11371
dc.description.abstract An automated segmentation algorithm for the isolation of pseudoinvariant features was developed. This algorithm utilizes rate-of-change information from the thresholding process previously associated with the pseudoinvariant feature normalization technique. This algorithm was combined with the normalization technique and applied to the six reflective bands of the Landsat Thematic Mapper for both urban and rural imagery. The segmentation algorithm and normalization technique were also applied to color infrared high resolution U2 imagery. The accuracy and precision of the normalization results were evaluated. The technique consistently produced normalization results with errors of approximately one or two reflectance units for both the rural and urban Thematic Mapper imagery as well as the visible bands of high resolution airphoto imagery. The segmentation algorithm shows great potential for the removal of human intervention in the pseudoinvariant feature temporal image normalization process. en_US
dc.language.iso en_US en_US
dc.subject Remote sensing en_US
dc.subject.lcc G70.4.S23 1987
dc.subject.lcsh Remote sensing--Equipment and supplies en_US
dc.subject.lcsh Algorithms en_US
dc.subject.lcsh Landsat satellites en_US
dc.subject.lcsh Cities and towns--Remote sensing en_US
dc.title Automated segmentation of urban features from landsat thematic mapper imagery for use in pseudoinvariant feature temporal image normalization en_US
dc.type Thesis en_US
dc.description.college College of Science en_US
dc.description.department Center for Imaging Science en_US
dc.description.school Rochester Institute of Technology en_US

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