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Fusion of Multi-Sensor Imagery for Night Vision: Color Visualization, Target Learning and Search (2000)
| Venue: | in Proc. 3rd Int. Conf. Information Fusion |
| Citations: | 13 - 2 self |
BibTeX
@INPROCEEDINGS{Fay00fusionof,
author = {D.A. Fay and A. M. Waxman and M. Aguilar and D.B. Ireland and J.P. Racamato and W.D. Ross and W. W. Streilein and M. I. Braun},
title = {Fusion of Multi-Sensor Imagery for Night Vision: Color Visualization, Target Learning and Search},
booktitle = {in Proc. 3rd Int. Conf. Information Fusion},
year = {2000},
pages = {215--219}
}
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Abstract
We present methods and results for fusion of imagery from multiple sensors to create a color night vision capability. The fusion system architectures are based on biological models of the spatial and opponentcolor processes in the human retina and visual cortex, implemented as shunting center-surround feed-forward neural networks. Real-time implementation of the dualsensor fusion system combines imagery from either a low-light CCD camera or a short-wave infrared camera, with thermal long-wave infrared imagery. Results are also shown for extensions of this fusion architecture to include imagery from all three of these sensors, Visible/SWIR/LWIR, as well as a four sensor system using Visible/SWIR/MWIR/LWIR cameras. We also demonstrate how results from these multi-sensor fusion systems are used as inputs to an interactive tool for target designation, learning, and search based on a Fuzzy ARTMAP neural network.
Keyphrases
target learning multi-sensor imagery color visualization night vision visible swir lwir target designation center-surround feed-forward neural network thermal long-wave infrared imagery opponentcolor process color night vision capability visual cortex short-wave infrared camera dualsensor fusion system combine human retina fusion system architecture sensor system visible swir mwir lwir camera fuzzy artmap neural network interactive tool multi-sensor fusion system fusion architecture low-light ccd camera biological model real-time implementation multiple sensor
