Applications of smart neuromorphic focal planes

Robert Forsell Jr.; Allison L. Thornbrugh; Carl A. Preyer

doi:10.1117/12.23006

1 November 1990 Applications of smart neuromorphic focal planes

Robert Forsell Jr., Allison L. Thornbrugh, Carl A. Preyer

Proceedings Volume 1339, Materials, Devices, Techniques, and Applications for Z-Plane Focal Plane Array Technology II; (1990) https://doi.org/10.1117/12.23006
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

Space-based sensors currently transmit large amounts of raw data to their receiving stations, forcing large bandwidths to be used and large data archives maintained. One possible solution to this data management problem is the use of more intelligent processing onboard the spacecraft. Neural networks are proposed as a trainable, mutable means of achieving sensor signal processing, sorting, and classification before infrared (IR) focal plane data leaves the cryogenic seal. Two questions arise: (1) can a neural network of appropriate size learn a sensor processing classification problem, and (2) will there be devices to implement that neural network as a smart focal plane. In this paper we concentrate on the first issue and show successful results in simulation for a massively parallel, distributed neural network solution to the closely spaced object (CSO) recognition problem, using a defocused JR sensor model with noise, and an uncooperative object or CSO at large distance. The back-propagation learning method is used to train the network. Architectural issues regarding the construction of a prototype neuromorphic focal plane device are also discussed.

Citation Download Citation

Robert Forsell Jr., Allison L. Thornbrugh, and Carl A. Preyer "Applications of smart neuromorphic focal planes", Proc. SPIE 1339, Materials, Devices, Techniques, and Applications for Z-Plane Focal Plane Array Technology II, (1 November 1990); https://doi.org/10.1117/12.23006

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KEYWORDS

Sensors

Neural networks

Signal processing

Staring arrays

Analog electronics

Signal detection

Target detection

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