Open AccessNight vision integrated performance model: impact of a recent change on the model’s predictive accuracy
Author(s) -
Richard H. Vollmerhausen
Publication year - 2016
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.023654
Subject(s) - computer science , metric (unit) , performance metric , identification (biology) , field (mathematics) , task (project management) , image quality , performance prediction , artificial intelligence , procurement , computer vision , set (abstract data type) , simulation , image (mathematics) , engineering , mathematics , operations management , botany , business , management , systems engineering , marketing , pure mathematics , economics , biology , programming language
The U. S. Army has adopted the targeting task performance (TTP) image quality metric for formal analyses of electro-optical imager performance. The most recent release of the model, NVIPM, changes the way TTP is calculated in order to improve the accuracy of facial identification. Predictions of the original and modified models are compared to both laboratory and field data. The change degrades NVIPM predictive accuracy for the tactical vehicle target set which is often used in hardware procurement specifications.