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Proceedings Paper

Hierarchical spatial/spectral processing for road mapping
Author(s): Tim J. Patterson
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Paper Abstract

This paper describes a work in progress to develop an updated road mapping system. The system is designed to generate map products working directly from multispectral imagery. The updated system is uses a resolution hierarchy to match the size of the roads, measured in image pixels, to the optimal processing configurations. The original system was designed to work with low resolution Landsat TM imagery while the updated system is designed to be more versatile with the ability to generate products from the new systems now available such as Landsat VII, IKONOS, and Digital Globe. The majority of the map production is performed in an automated mode requiring no user interaction. A Java interface to support final editing of the automated results has been built to support application on multiple platforms. This paper describes the mapping algorithms, the special editing interface designed for road vector maps, and results of some processing experiments.

Paper Details

Date Published: 2 August 2002
PDF: 9 pages
Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478746
Show Author Affiliations
Tim J. Patterson, Booz-Allen & Hamilton Inc. (United States)


Published in SPIE Proceedings Vol. 4725:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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