Paper
30 April 2007 Cell balancing for vehicle identification perception experiments and correcting for cell imbalance in test results
Author Affiliations +
Abstract
Corrections are given for cell imbalance in the design and analysis of twelve (12)-target identification (ID) perception tests. Such tests are an important tool in the development of the Night Vision and Electronic Sensors Directorate (NVESD) observer performance model used in NVThermIP to compare electro-optical systems. It is shown that the partitions of the 12-target set previously used in perception experiments exhibit statistically significant cell imbalance. Results from perception testing are used to determine the relative difficulty of identifying different images in the set. A program is presented to partition the set into lists that are balanced according to the collected observer data. The relative difficulty of image subsets is shown to be related to the best-fit V50 values for the subsets. The results of past perception experiments are adjusted to account for cell imbalance using the subset V50 terms. Under the proper conditions, the adjusted results are shown to better follow the TTP model for observer performance.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard K. Moore, Eddie L. Jacobs, and Carl E. Halford "Cell balancing for vehicle identification perception experiments and correcting for cell imbalance in test results", Proc. SPIE 6543, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVIII, 65430D (30 April 2007); https://doi.org/10.1117/12.718908
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KEYWORDS
Image quality

Performance modeling

Data modeling

Targeting Task Performance metric

Systems modeling

Sensors

Infrared sensors

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