Automatic extraction and identification of lines of communication from high-resolution multispectral imagery

Karen F. West; James R. Lersch; A. Evan Iverson; Brian N. Webb; Herbert A. Stevenson

doi:10.1117/12.243207

17 June 1996 Automatic extraction and identification of lines of communication from high-resolution multispectral imagery

Karen F. West, James R. Lersch, A. Evan Iverson, Brian N. Webb, Herbert A. Stevenson

Author Affiliations +

Proceedings Volume 2758, Algorithms for Multispectral and Hyperspectral Imagery II; (1996) https://doi.org/10.1117/12.243207
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

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Karen F. West, James R. Lersch, A. Evan Iverson, Brian N. Webb, and Herbert A. Stevenson "Automatic extraction and identification of lines of communication from high-resolution multispectral imagery", Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); https://doi.org/10.1117/12.243207

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KEYWORDS

Lab on a chip

Image segmentation

Databases

Roads

Multispectral imaging

Image processing

Human-machine interfaces

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