On-focal-plane-array feature extraction using a 3-D artificial neural network (3DANN): Part I

John C. Carson

doi:10.1117/12.49328

1 November 1991 On-focal-plane-array feature extraction using a 3-D artificial neural network (3DANN): Part I

John C. Carson

Proceedings Volume 1541, Infrared Sensors: Detectors, Electronics, and Signal Processing; (1991) https://doi.org/10.1117/12.49328
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

3-D focal plane array read-out structures offer the means for a fully interconnected, many level neural network with the potential for biological recognition capabilities. In this, the first of a two part paper, the 3DANN concept is presented and described. The second part discusses and compares the hardware implementation with more conventional approaches.

Citation Download Citation

John C. Carson "On-focal-plane-array feature extraction using a 3-D artificial neural network (3DANN): Part I", Proc. SPIE 1541, Infrared Sensors: Detectors, Electronics, and Signal Processing, (1 November 1991); https://doi.org/10.1117/12.49328

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