Paper
2 August 2002 Hierarchical spatial/spectral processing for road mapping
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tim J. Patterson "Hierarchical spatial/spectral processing for road mapping", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); https://doi.org/10.1117/12.478746
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KEYWORDS
Roads

Lab on a chip

Earth observing sensors

Image processing

Image resolution

Sensors

Edge detection

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