Satellite Mapping and Automated . . .
Declassified Intelligence Satellite Photograph (DISP) data are important resources for measuring the geometry of the coastline of Antarctica. By using the state-of-art digital imaging technology, bundle block triangulation based on tie points and control points derived from a RADARSAT-1 Synthetic Ap...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.299.4254 2023-05-15T13:47:28+02:00 Satellite Mapping and Automated . . . Kee-Tae Kim The Pennsylvania State University CiteSeerX Archives 2004 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.4254 http://shoreline.eng.ohio-state.edu/publications/kim_dissertation.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.4254 http://shoreline.eng.ohio-state.edu/publications/kim_dissertation.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://shoreline.eng.ohio-state.edu/publications/kim_dissertation.pdf text 2004 ftciteseerx 2016-01-07T21:56:15Z Declassified Intelligence Satellite Photograph (DISP) data are important resources for measuring the geometry of the coastline of Antarctica. By using the state-of-art digital imaging technology, bundle block triangulation based on tie points and control points derived from a RADARSAT-1 Synthetic Aperture Radar (SAR) image mosaic and Ohio State University (OSU) Antarctic digital elevation model (DEM), the individual DISP images were accurately assembled into a map quality mosaic of Antarctica as it appeared in 1963. The new map is one of important benchmarks for gauging the response of the Antarctic coastline to changing climate. Automated coastline extraction algorithm design is the second theme of this dissertation. At the pre-processing stage, an adaptive neighborhood filtering was used to remove the film-grain noise while preserving edge features. At the segmentation stage, an adaptive Bayesian approach to image segmentation was used to split the DISP imagery into its homogenous regions, in which the fuzzy c-means clustering (FCM) technique and Gibbs random field (GRF) model were introduced to estimate the conditional and prior probability density functions. A Gaussian mixture model was used Text Antarc* Antarctic Antarctica Unknown Antarctic The Antarctic |
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Declassified Intelligence Satellite Photograph (DISP) data are important resources for measuring the geometry of the coastline of Antarctica. By using the state-of-art digital imaging technology, bundle block triangulation based on tie points and control points derived from a RADARSAT-1 Synthetic Aperture Radar (SAR) image mosaic and Ohio State University (OSU) Antarctic digital elevation model (DEM), the individual DISP images were accurately assembled into a map quality mosaic of Antarctica as it appeared in 1963. The new map is one of important benchmarks for gauging the response of the Antarctic coastline to changing climate. Automated coastline extraction algorithm design is the second theme of this dissertation. At the pre-processing stage, an adaptive neighborhood filtering was used to remove the film-grain noise while preserving edge features. At the segmentation stage, an adaptive Bayesian approach to image segmentation was used to split the DISP imagery into its homogenous regions, in which the fuzzy c-means clustering (FCM) technique and Gibbs random field (GRF) model were introduced to estimate the conditional and prior probability density functions. A Gaussian mixture model was used |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Kee-Tae Kim |
spellingShingle |
Kee-Tae Kim Satellite Mapping and Automated . . . |
author_facet |
Kee-Tae Kim |
author_sort |
Kee-Tae Kim |
title |
Satellite Mapping and Automated . . . |
title_short |
Satellite Mapping and Automated . . . |
title_full |
Satellite Mapping and Automated . . . |
title_fullStr |
Satellite Mapping and Automated . . . |
title_full_unstemmed |
Satellite Mapping and Automated . . . |
title_sort |
satellite mapping and automated . . . |
publishDate |
2004 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.4254 http://shoreline.eng.ohio-state.edu/publications/kim_dissertation.pdf |
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Antarctic The Antarctic |
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Antarctic The Antarctic |
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Antarc* Antarctic Antarctica |
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Antarc* Antarctic Antarctica |
op_source |
http://shoreline.eng.ohio-state.edu/publications/kim_dissertation.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.4254 http://shoreline.eng.ohio-state.edu/publications/kim_dissertation.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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