Automated image-based range performance measurement using TOD

Robert Short

doi:10.1117/12.2664138

14 June 2023 Automated image-based range performance measurement using TOD

Robert Short

Proceedings Volume 12533, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV; 125330G (2023) https://doi.org/10.1117/12.2664138
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Image processing (including histogram equalization, local area processing, and edge sharpening) is a key component of practical electro-optical imaging systems. Despite this, the range performance impact of such processing remains difficult to quantify, short of running a full human perception experiment. The primary difficulty is that current analytic range performance models—best exemplified by the Targeting Task Performance (TTP) model—can only account for linear and shift-invariant (LSI) image effects. We present our efforts towards developing a quantitative, image-based range performance metric that does not require LSI assumptions. Our proposed metric is based on a Triangle Orientation Discrimination (TOD) target set and observer task, with automatic scoring accomplished through a simple template correlator. The approach is compatible with both synthetic and real imagery.

Conference Presentation

Citation Download Citation

Robert Short "Automated image-based range performance measurement using TOD", Proc. SPIE 12533, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV, 125330G (14 June 2023); https://doi.org/10.1117/12.2664138

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