Observation events: a basis for change detection

Joseph L. Mundy

doi:10.1117/12.233055

19 February 1996 Observation events: a basis for change detection

Joseph L. Mundy

Proceedings Volume 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation; (1996) https://doi.org/10.1117/12.233055
Event: 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, 1995, Washington, DC, United States

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.

Citation Download Citation

Joseph L. Mundy "Observation events: a basis for change detection", Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); https://doi.org/10.1117/12.233055

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KEYWORDS

3D modeling

3D image processing

Image analysis

Image registration

Calibration

Image processing

Distance measurement

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