Nonuniformity correction for staring IR focal plane arrays using scene-based techniques

Details Nonuniformity correction for staring IR focal plane arrays using scene-based techniques Nonuniformity correction for staring IR focal plane arrays using scene-based techniques

Sep 1990

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990spie.1308..224s&link_type=abstract

IN: Infrared detectors and focal plane arrays; Proceedings of the Meeting, Orlando, FL, Apr. 18, 19, 1990 (A91-36726 15-35). Bel

Computer Science

Performance

7

Focal Plane Devices, Geometric Rectification (Imagery), Infrared Detectors, Scene Analysis, High Pass Filters, Image Processing, Multiprocessing (Computers), Neural Nets

Scientific paper

Scene-based nonuniformity correction (NUC) was performed via two techniques, and the results are presented in terms of ability to allow increased sensitivity and to minimize scene degradation. The two techniques perform recalibration in real-time based on the radiance levels of the scene being viewed. The scene-based NUC was effected with an algorithm based on a temporal high-pass filter, and with one based on an artificial neural network. Recorded data from an MWIR staring array collecting different images were used for the experiments. The advantages of the two scene-based NUC techniques are summarized and compared to those of the traditional calibration technique. The potential for the elimination of spatial noise and the achievement of BLIP performance levels in high-quantum-efficiency FPAs are emphasized. Spatial noise can be eliminated by employing real-time signal processors.

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