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Proceedings Paper

Observation events: a basis for change detection
Author(s): Joseph L. Mundy
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Paper Abstract

The goal of automatic change detection in aerial imagery has attracted considerable research effort. A significant advance in achieving reliable change detection is offered by the application of spatial context, derived from a 3D site model. The use of 3D model context is a key approach of the RADIUS program, a 5 year ARPA project to develop tools to assist an image analyst in extracting intelligence information from aerial images. This paper introduces the concept of an observation event which provides a uniform mechanism for coupling the linguistic framework of intelligence concepts to image observations and associated image feature extraction and analysis processes. A blackboard-style processing architecture is being developed to compute the state of observation events using the spatial context of a 3D site model. The observation event class hierarchy is described along with experimental results of event computation in aerial images.

Paper Details

Date Published: 19 February 1996
PDF: 23 pages
Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); doi: 10.1117/12.233055
Show Author Affiliations
Joseph L. Mundy, GE Corporate Research and Development Ctr. (United States)

Published in SPIE Proceedings Vol. 2645:
24th AIPR Workshop on Tools and Techniques for Modeling and Simulation
Donald J. Gerson, Editor(s)

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