Approach to the automated identification of forests and forest change in remotely sensed images

W. Newton; C. Gurney; David R. Sloggett; Ian J. Dowman

doi:10.1117/12.182812

17 August 1994 Approach to the automated identification of forests and forest change in remotely sensed images

W. Newton, C. Gurney, David R. Sloggett, Ian J. Dowman

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182812
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

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.

Citation Download Citation

W. Newton, C. Gurney, David R. Sloggett, and Ian J. Dowman "Approach to the automated identification of forests and forest change in remotely sensed images", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182812

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