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Proceedings Paper

Automatic extraction and identification of lines of communication from high-resolution multispectral imagery
Author(s): Karen F. West; James R. Lersch; A. Evan Iverson; Brian N. Webb; Herbert A. Stevenson
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Paper Abstract

Use of remotely sensed imagery to map lines of communication or revise existing maps is currently a labor-intensive process. In this paper, we present a system for automatically extracting lines of communication from high- resolution (less than 5-meter spatial resolution) multispectral imagery. Positive systems ADAR 5500 imagery is used to demonstrate system functionality. Our system includes automatic detection and identification algorithms, a geospatial database for storage and retrieval of results, a change detection component that compares newly detected lines of communication against stored database information, and a user interface that allows operator review and editing of automatically extracted results.

Paper Details

Date Published: 17 June 1996
PDF: 11 pages
Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); doi: 10.1117/12.243207
Show Author Affiliations
Karen F. West, Science Applications International Corp. (United States)
James R. Lersch, Science Applications International Corp. (United States)
A. Evan Iverson, Science Applications International Corp. (United States)
Brian N. Webb, Science Applications International Corp. (United States)
Herbert A. Stevenson, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 2758:
Algorithms for Multispectral and Hyperspectral Imagery II
A. Evan Iverson, Editor(s)

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