Automated land use change detection from maps and high resolution imagery
1996-1997

Participants
Gary Priestnall
Roger Glover

Funding
The University of Nottingham

Project Overview
This project focussed upon map-assisted feature extraction from Very High Resolution Imagery. The rationale was that new high resolution image sensors offered the potential for extracting detailed geographical information but that to extract this information automatically and unaided was unrealistic. The idea of using existing digital cartographic databases to aid feature extraction and to explore the potential for land use change detection formed the focus of this project. A control strategy was developed to use existing vector databases to detect features in a newer image, and to use the map database to define the likely set of features in a given area and to suggest parameters to be used in feature extraction algorithms by the integrated use of map and image. The project led to the development of the Automated Linear Feature Identification and Extraction (ALFIE) project in collaboration with Laser-Scan and DERA (later QinetiQ).

Research Outcomes
Priestnall, G and Glover R. (1998) A control strategy for automated land use change detection: an integration of vector-based GIS, remote sensing and pattern recognition. (Ed) Steve Carver, Innovations in GIS 5, Taylor and Francis, pp162-175. 0-7484-0810-X

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