Image exploitation using multisensor/neural network systems

Edward C. Uberbacher; Y. Xu; R. W. Lee; Charles W. Glover; Martin Beckerman; Reinhold C. Mann

doi:10.1117/12.233058

19 February 1996 Image exploitation using multisensor/neural network systems

Edward C. Uberbacher, Y. Xu, R. W. Lee, Charles W. Glover, Martin Beckerman, Reinhold C. Mann

Proceedings Volume 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation; (1996) https://doi.org/10.1117/12.233058
Event: 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, 1995, Washington, DC, United States

Abstract

We have developed and evaluated a tool for change detection and other analysis tasks relevant to image exploitation. The tool, visGRAIL, integrates three key elements: (1) the use of multiple algorithms to extract information from images -- feature extractors or 'sensors,' (2) an algorithm to fuse the information -- presently a neural network, and (3) empirical estimation of the fusion parameters based on a representative set of images. The system was applied to test images in the RADIUS common development environment (RCDE). In a task designed to distinguish natural scenes from those containing various amounts of human-made objects and structure, the system classified correctly 95% of 350 images in a test set. This paper describes details of the feature extractors, and presents analyses of the discriminatory characteristics of the features. visGRAIL has been integrated into the RCDE.

Citation Download Citation

Edward C. Uberbacher, Y. Xu, R. W. Lee, Charles W. Glover, Martin Beckerman, and Reinhold C. Mann "Image exploitation using multisensor/neural network systems", Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); https://doi.org/10.1117/12.233058

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