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17 May 2012A comparison of Landolt C and triangle resolution targets using the
synthetic observer approach to sensor resolution assessment
Resolution is often provided as one of the key parameters addressing the quality capability of a sensor. One traditional
approach to determining the resolution of a sensor/display system is to use a resolution target pattern to find the smallest
target size for which the critical target element can be "resolved" using the sensor/display system, which usually requires
a human in the loop to make the assessment. In previous SPIE papers we reported on a synthetic observer approach to
determining the point at which a Landolt C resolution target was resolved; a technique with marginal success when
compared to human observers. This paper compares the results of the previously developed synthetic observer approach
using a Landolt C with a new synthetic observer approach based on Triangle Orientation Detection (TOD). A large
collection of multi-spectral (visible, near infra-red, and thermal) sensor images of triangle and Landolt C resolution
targets were recorded at a wide range of distances. Each image contained both the triangle and the Landolt C resolution
targets as well as a person holding a weapon or other object. The images were analyzed using the two different synthetic
observer approaches, one for triangles and one for Landolt Cs, and the results compared with each other for the three
different sensors. This paper describes the results and planned future effort to compare the results with human visual
performance for both the resolution targets and for the hand-held objects.
Alan R. Pinkus,David W. Dommett, andH. Lee Task
"A comparison of Landolt C and triangle resolution targets using the
synthetic observer approach to sensor resolution assessment", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921A (17 May 2012); https://doi.org/10.1117/12.917692
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Alan R. Pinkus, David W. Dommett, H. Lee Task, "A comparison of Landolt C and triangle resolution targets using the synthetic observer approach to sensor resolution assessment," Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921A (17 May 2012); https://doi.org/10.1117/12.917692