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Proceedings Paper

Approach to the automated identification of forests and forest change in remotely sensed images
Author(s): W. Newton; C. Gurney; David R. Sloggett; Ian J. Dowman
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Paper Abstract

The aim of the research described in this paper has been to develop change detection algorithms which would be suitable for an operational map update system. Two algorithms have been developed, one based on edge matching and another on object analysis. These algorithms have been tested on thematic mapper imagery, using ordnance survey (OS) and forestry commission (FC) digitized maps. When possible, knowledge of forest practice has been used to augment the results. Results indicate that, with minimal user interaction, major areas of change can be determined. Increasing user intervention can reduce algorithm complexity and processing time, at the expense of automation.

Paper Details

Date Published: 17 August 1994
PDF: 8 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182812
Show Author Affiliations
W. Newton, Univ. College London (United Kingdom)
C. Gurney, Earth Observation Sciences Ltd. (United Kingdom)
David R. Sloggett, Earth Observation Sciences Ltd. (United Kingdom)
Ian J. Dowman, Univ. College London (United Kingdom)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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