Comparing pixels on target with NV-IPM range predictions

Gerald C. Holst; Abhijit Mahalanobis

doi:10.1117/12.2666655

14 June 2023 Comparing pixels on target with NV-IPM range predictions

Proceedings Volume 12533, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV; 1253302 (2023) https://doi.org/10.1117/12.2666655
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

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.

Conference Presentation

Citation Download Citation

Gerald C. Holst and Abhijit Mahalanobis "Comparing pixels on target with NV-IPM range predictions", Proc. SPIE 12533, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV, 1253302 (14 June 2023); https://doi.org/10.1117/12.2666655

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