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

Alan R. Pinkus; Alexander Toet; H. Lee Task

doi:10.1117/12.820006

11 May 2009 Object recognition methodology for the assessment of multi-spectral fusion algorithms: phase 1

Alan R. Pinkus, Alexander Toet, H. Lee Task

Proceedings Volume 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII; 73360X (2009) https://doi.org/10.1117/12.820006
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Alan R. Pinkus, Alexander Toet, and H. Lee Task "Object recognition methodology for the assessment of multi-spectral fusion algorithms: phase 1", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360X (11 May 2009); https://doi.org/10.1117/12.820006

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