@inproceedings{7071a0a63b6e453a940c0e8469bf7ca4,
title = "Comparing Pixels on target with NV-IPM range predictions",
abstract = "There is growing interest in applying machine learning algorithms to target acquisition tasks. Current algorithm studies suggest pixels on target area (POT) of 50-70, 150, 250, and 350 are adequate for detection, classification, recognition, and identification of tank-sized targets respectively. Using simple analyzes, we compare POT to Night Vision Integrated Performance Model (NV-IPM) range probability predictions for a typical LWIR sensor.",
keywords = "Edge response, equivalent resolution, NIIRS, NV-IPM, pixels on target, POT",
author = "Holst, \{Gerald C.\} and Abhijit Mahalanobis",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV 2023 ; Conference date: 03-05-2023 Through 04-05-2023",
year = "2023",
doi = "10.1117/12.2666655",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Holst, \{Gerald C.\} and Haefner, \{David P.\}",
booktitle = "Infrared Imaging Systems",
}