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Proceedings Paper

A workstation based image acquisition and processing instrument for spatial analysis of vegetation
Author(s): John Rasure; Tom Sauer; Charlie Gage
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Paper Abstract

Measured changes in vegetation indicate the dynamics of ecological processes and can identify the impacts from disturbance. Traditional methods of vegetation analysis tend to be slow because they are labor intensive; as a result, these methods are often confined to small local area measurements. Scientists need new algorithms and instruments that will allow them to efficiently study environmental dynamics across a range of different spatial scales. Presented is a new methodology that addresses this problem. This methodology includes the acquisition, processing and presentation of near ground level (NGL) image data and its corresponding spatial characteristics. The systematic approach taken encom- passes a feature extraction process, a supervised and unsupervised classification process, and a region labeling process yielding spatial information.

Paper Details

Date Published: 1 August 1990
PDF: 8 pages
Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13951V (1 August 1990); doi: 10.1117/12.2294310
Show Author Affiliations
John Rasure, Univ. of New Mexico (United States)
Tom Sauer, Univ. of New Mexico (United States)
Charlie Gage, Univ. of New Mexico (United States)

Published in SPIE Proceedings Vol. 1395:
Close-Range Photogrammetry Meets Machine Vision
Armin Gruen; Emmanuel P. Baltsavias, Editor(s)

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