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Proceedings Paper

Object recognition methodology for the assessment of multi-spectral fusion algorithms: phase 1
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Paper Abstract

In this effort we acquired and registered a multi-spectral dynamic image test set with the intent of using the imagery to assess the operational effectiveness of static and dynamic image fusion techniques for a range of relevant military tasks. This paper describes the image acquisition methodology, the planned human visual performance task approach, the lessons learned during image acquisition and the plans for a future, improved image set, resolution assessment methodology and human visual performance task.

Paper Details

Date Published: 11 May 2009
PDF: 9 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360X (11 May 2009); doi: 10.1117/12.820006
Show Author Affiliations
Alan R. Pinkus, Air Force Research Lab. (United States)
Alexander Toet, TNO Defense, Security and Safety (Netherlands)
H. Lee Task, Task Consulting (United States)

Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)

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