@inproceedings{f40200bafa9548e5a28539bee6d4c385,
title = "Trade Study of Moving Sensor Optimization Model",
abstract = "Time-limited search modeling has been an important aspect of sensor design for over two decades. In past work, we introduced a model which incorporated camera matrix theory into a pre-existing time-limited model for moving sensor scenarios, for the purpose of optimizing sensor orientation for a given platform speed and height. During the introduction of this model, it was established that optimization in this way required the determination of a balance between sensor range to target and time on target. In this study, we further explore the capabilities of this new model by optimizing sensor configuration in a few selected scenarios, with focus in how sensor orientation, platform speed, and platform height interact with one another.",
keywords = "EOIR systems, human vision, Search modeling, sensing system design",
author = "J. Hewitt and Renshaw, {C. K.} and R. Driggers",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXV 2024 ; Conference date: 23-04-2024 Through 25-04-2024",
year = "2024",
doi = "10.1117/12.3013014",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Haefner, {David P.} and Holst, {Gerald C.}",
booktitle = "Infrared Imaging Systems",
}