Incorporation Of Map Information In Object Detection

Joseph J. Besselman III; Mohan M. Trivedi

doi:10.1117/12.940625

11 May 1987 Incorporation Of Map Information In Object Detection

Joseph J. Besselman III, Mohan M. Trivedi

Proceedings Volume 0786, Applications of Artificial Intelligence V; (1987) https://doi.org/10.1117/12.940625
Event: 1987 Technical Symposium Southeast on Optics, Electro-Optics, and Sensors, 1987, Orlando, FL, United States

Abstract

This paper elucidates the viability of utilizing map information effectively in the interpretation of aerial images. Motivation for using ancillary information is the desire to harness knowledge intrinsic to a study area. A knowledge-based scheme is presented that resembles post-classification sorting in principle, but exceeds it in sophistication. The prototype is data-driven, with the knowledge configured in a production system format. Information derived from maps can be utilized to support or refute the presence of an object detected by analyzing image data. Several experiments were conducted to evaluate various belief maintenance schemes applied to refining object detection results produced by the analysis of image-only data.

Citation Download Citation

Joseph J. Besselman III and Mohan M. Trivedi "Incorporation Of Map Information In Object Detection", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); https://doi.org/10.1117/12.940625

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