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Proceedings Paper

Developments in automated object-image registration
Author(s): Ian J. Dowman; A. Holmes; V. Vohra
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Paper Abstract

There is considerable activity at present in feature extraction using a knowledge based approach. Much of this work is concerned with identifying the features. In the work described in this paper the main interest is in extracting features which can be matched on an image and a map. The emphasis is on polygons which have a distinctive shape and can be extracted from vector as well as raster data. An algorithm has been developed and tested which automatically matches forest areas on a map with forest areas on and image in two dimensions. This algorithm is being developed for more general use so that the problem of image to map registration can be automated in a general way. Results are given on the use of the algorithm to identify changes in forestry from Landsat Thematic Mapper data and developments which can match buildings on high resolution satellite imagery are reported. An overall strategy for full automation is presented and discussed and future developments considered.

Paper Details

Date Published: 5 July 1995
PDF: 8 pages
Proc. SPIE 2486, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, (5 July 1995); doi: 10.1117/12.213134
Show Author Affiliations
Ian J. Dowman, Univ. College London (United Kingdom)
A. Holmes, Ordnance Survey (United Kingdom)
V. Vohra, Univ. College London (United Kingdom)

Published in SPIE Proceedings Vol. 2486:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II
David M. McKeown Jr.; Ian J. Dowman, Editor(s)

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