TY - JOUR
T1 - Simple target acquisition model based on Fλ/d
AU - Driggers, Ronald
AU - Goranson, Glenn
AU - Butrimas, Steve
AU - Holst, Gerald
AU - Furxhi, Orges
N1 - Publisher Copyright:
© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE).
PY - 2021/2/1
Y1 - 2021/2/1
N2 - The US Army Night Vision and Electronic Sensors Directorate's Night Vision Integrated Performance Model (NVIPM) is a robust, comprehensive, and sophisticated model that calculates the performance of an infrared imager in the task of target acquisition. The inputs are specifics about the target, atmosphere, optics, detector, electronics, and display and the outputs are probabilities of target detection, recognition, and identification. NVIPM is complicated and takes a good bit of time to master obtaining correct answers based on numerous assumptions and modeling experience. For midwave infrared (MWIR) and longwave infrared (LWIR) sensors, past research has shown that imaging system performance is strongly related to Fλ/d, where F is the f-number, λ is the wavelength, and d is the detector pitch. Fλ/d provides a metric that relates how closely to diffraction-limited performance a sensor operates. We use the past Fλ/d work to develop a simple model that provides probability of target discrimination as a function of range that can be performed with a simple hand calculator or spreadsheet. We compare this model to the NVIPM calculations on 10 very disparate MWIR and LWIR sensors to show robust agreement. We also describe the conditions under which the simple model is valid.
AB - The US Army Night Vision and Electronic Sensors Directorate's Night Vision Integrated Performance Model (NVIPM) is a robust, comprehensive, and sophisticated model that calculates the performance of an infrared imager in the task of target acquisition. The inputs are specifics about the target, atmosphere, optics, detector, electronics, and display and the outputs are probabilities of target detection, recognition, and identification. NVIPM is complicated and takes a good bit of time to master obtaining correct answers based on numerous assumptions and modeling experience. For midwave infrared (MWIR) and longwave infrared (LWIR) sensors, past research has shown that imaging system performance is strongly related to Fλ/d, where F is the f-number, λ is the wavelength, and d is the detector pitch. Fλ/d provides a metric that relates how closely to diffraction-limited performance a sensor operates. We use the past Fλ/d work to develop a simple model that provides probability of target discrimination as a function of range that can be performed with a simple hand calculator or spreadsheet. We compare this model to the NVIPM calculations on 10 very disparate MWIR and LWIR sensors to show robust agreement. We also describe the conditions under which the simple model is valid.
KW - LWIR
KW - MWIR
KW - Night Vision Integrated Performance Model
KW - infrared imaging system
KW - target acquisition
UR - http://www.scopus.com/inward/record.url?scp=85101997769&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101997769&partnerID=8YFLogxK
U2 - 10.1117/1.OE.60.2.023104
DO - 10.1117/1.OE.60.2.023104
M3 - Article
AN - SCOPUS:85101997769
SN - 0091-3286
VL - 60
JO - Optical Engineering
JF - Optical Engineering
IS - 2
M1 - 023104
ER -