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Analog 3-D Neuroprocessor for Fast Frame Focal Plane Image Processing
- Source :
- SIMULATION. 65:11-25
- Publication Year :
- 1995
- Publisher :
- SAGE Publications, 1995.
-
Abstract
- A particularly challenging neural network application requiring high-speed and intensive image processing capability is target acquisition and discrimination. It requires spatio-temporal recognition of point and resolved targets at high speeds. A reconfigur able neural architecture may discriminate targets from clutter or classify targets once resolved. By mating a 64 x 64 pixel array infrared (IR) image sensor to a 3-D stack (cube) of 64 neural-net ICs along respective edges, every pixel would directly input to a neural network, thereby processing the infor-mation with full parallelism. Being mated to the infrared sensor array, the cube would operate at 90°K temperature with
- Subjects :
- Signal processing
021103 operations research
Computer science
business.industry
Template matching
0211 other engineering and technologies
Image processing
02 engineering and technology
Analog signal processing
Computer Graphics and Computer-Aided Design
Sensor array
Modeling and Simulation
Multilayer perceptron
Digital image processing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
Image sensor
business
Software
Subjects
Details
- ISSN :
- 17413133 and 00375497
- Volume :
- 65
- Database :
- OpenAIRE
- Journal :
- SIMULATION
- Accession number :
- edsair.doi...........fbacf6b2c7dd9845828d8eb831063086