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Proceedings Paper

Synthetic multisensor database generation and validation
Author(s): Charles E. Lindahl; Alan Cockcroft; Thomas Derryberry; John Sigler; Mark Yablonski
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Paper Abstract

The availability of validated, synthetic multisensor databases is crucial for the development, testing, and evaluation of advanced Automatic Target Recognition algorithms. Real multisensor scene combinations reflecting operational requirements, missions, and targets are in many cases unavailable and economically difficult to obtain in the variety and quantity needed. This per describes the Texas Instruments (TI's) Synthetic Multisensor (IR, TV, Laser Radar) Image Generation System which has been developed to address this database problem and the procedures used to validate the synthetic imagery. The system generates single frames or image sequences which are based upon scenarios derived directly from DMA digital map data. A user interface designed to allow the user to control the operation of the synthetic image generation system, and to create, modify, and control the associated scenario is described along with the sensor models, atmospheric environment models, and scene rendering software utilized. In addition, validation of the synthetic imagery with respect to real imagery using a feature based methodology is addressed.

Paper Details

Date Published: 1 September 1990
PDF: 7 pages
Proc. SPIE 1310, Signal and Image Processing Systems Performance Evaluation, (1 September 1990); doi: 10.1117/12.21797
Show Author Affiliations
Charles E. Lindahl, Texas Instruments Inc. (United States)
Alan Cockcroft, Texas Instruments Inc. (United States)
Thomas Derryberry, Texas Instruments Inc. (United States)
John Sigler, Texas Instruments Inc. (United States)
Mark Yablonski, Texas Instruments Inc. (United States)

Published in SPIE Proceedings Vol. 1310:
Signal and Image Processing Systems Performance Evaluation
Hatem N. Nasr; Firooz A. Sadjadi, Editor(s)

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