Statistics – Computation
Scientific paper
May 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995spie.2474...51m&link_type=abstract
Proc. SPIE Vol. 2474, p. 51-62, Smart Focal Plane Arrays and Focal Plane Array Testing, Marc Wigdor; Mark A. Massie; Eds.
Statistics
Computation
Scientific paper
The Neuromorphic IR FPA Sensor developed by Amber Engineering, Inc., Goleta, CA for the Wright Laboratory Armament Directorate's Advanced Guidance Division, performs a Difference of Gaussians filtering function, similar to what occurs in the outer plexiform layer of the primate retinal system. This function requires a computationally intensive (digital-wise) spatial-temporal data smoothing operation, which is executed on the focal plane, at the seeker frame rate, while the image data is still in the analog domain. Implementation of analog operation provides great flexibility, not only in terms of the speed and power dissipation advantages, but also with the interface of other processes to the analog system. The fact that the human visual system is essentially based upon analog techniques helps to emphasize the point; nature has invested millions of years in the development of sensors and processing `wetware' which are highly tuned to their environment. Our goal is to take further advantage of the lessons which nature can teach us, and advance the state of the art in imaging detection and tracking by taking the next step to develop neuromorphic/corticomorphic focal plane devices. This paper will discuss some of the concepts the authors have been investigation in formulating advanced `smart' FPAs for future guided missile seeker applications.
Massie Mark A.
McCarley Paul L.
Wehling Martin F.
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