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Proceedings Paper

Modeling techniques for target detection
Author(s): Jeevake Attapattu; Ershad Sharifahmadian; Shahram Latifi
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Paper Abstract

To better study hyperspectral imaging sensors and remote sensing system performance, different parts of the remote sensing system can be modeled. Here, a scientific overview of recent modeling techniques is presented to come up with an appropriate approach for modeling of a target detection system. In particular, this study focuses on the development in modeling of scene, sensors, and processing algorithms. Moreover, the parallelization of the detection methods is emphasized for which the process of target detection accelerates. In conclusion, an appropriate model to evaluate a target detection system can be a hybrid model in which hyperspectral sensors, radars, and local sensors have been modeled.

Paper Details

Date Published: 13 June 2014
PDF: 9 pages
Proc. SPIE 9095, Modeling and Simulation for Defense Systems and Applications IX, 909504 (13 June 2014); doi: 10.1117/12.2050796
Show Author Affiliations
Jeevake Attapattu, Univ. of Nevada, Las Vegas (United States)
Ershad Sharifahmadian, Univ. of Nevada, Las Vegas (United States)
Shahram Latifi, Univ. of Nevada, Las Vegas (United States)


Published in SPIE Proceedings Vol. 9095:
Modeling and Simulation for Defense Systems and Applications IX
Eric J. Kelmelis, Editor(s)

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