Automated map generation and update from high-resolution multispectral imagery

Michael E. Bullock; Scott R. Fairchild; Tim J. Patterson; Robert Stu Haxton

doi:10.1117/12.243206

17 June 1996 Automated map generation and update from high-resolution multispectral imagery

Michael E. Bullock, Scott R. Fairchild, Tim J. Patterson, Robert Stu Haxton

Proceedings Volume 2758, Algorithms for Multispectral and Hyperspectral Imagery II; (1996) https://doi.org/10.1117/12.243206
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

This paper describes the LOCATE TNG system, which generates map products directly from multispectral imagery in an automated fashion. The LOCATE TNG system uses spectral and spatial feature information to extract various types of man- made lines of communication (LOCs) from imagery and generate them in the form of digital vector maps. The generated maps may be compared against reference digital maps to automatically find new or changed LOCs. The original LOCATE (lines of communication apparent from thematic mapper evidence) system was designed and developed to use landsat thematic mapper imagery having a resolution of 30 m. LOCATE TNG (the next generation) has been redesigned to also have the capability to use high resolution multispectral imagery to be available from the next generation of commercial satellites. These satellites will provide multispectral and panchromatic imagery having resolutions down to 4 m and 1 m, respectively, thus dramatically improving the information available for exploitation. LOCATE TNG employs a hierarchical algorithmic approach to extracting layers of LOCs (primary roads, secondary roads, etc.) that may be used for GIS applications.

Citation Download Citation

Michael E. Bullock, Scott R. Fairchild, Tim J. Patterson, and Robert Stu Haxton "Automated map generation and update from high-resolution multispectral imagery", Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); https://doi.org/10.1117/12.243206

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