We show how models of contrast enhancement, contour, shading and color vision can be used to enhance targets in multispectral IR and SAR imagery, aiding in ...
Neural processing of SAR imagery for enhanced target detection · Engineering, Environmental Science. Defense, Security, and Sensing · 1995.
Neural processing of targets in visible, multispectral IR and SAR imagery. Authors: Allen M. Waxman, Michael C. Seibert, Alan Gove, David A. Fay, + 4, Ann ...
We show how models of contrast enhancement, contour, shading and color vision can be used to enhance targets in multispectral IR and SAR imagery, aiding in ...
Neural Processing of Targets in Visible, Multispectral IR and SAR Imagery · WAXMAN Allen M. MIT Lincoln Laboratory · SEIBERT Michael C. MIT Lincoln Laboratory.
Neural processing of targets in visible, multispectral IR and SAR imagery · Use of model order for detecting potential target locations in SAR images · On the use ...
We have designed and implemented computational neural systems for target enhancement, detection, learning and recognition in visible, multispectral infrared (IR) ...
We show how 3D target learning and recognition from visible silhouettes and SAR return patterns are related. We show how models of contrast enhancement, contour ...
Apr 25, 2024 · Neural processing of targets in visible, multispectral IR and SAR imagery. Neural Networks 8(7-8): 1029-1051 (1995). [+][–]. Coauthor network.
Neural Processing of Targets in Visible, Multispectral IR and SAR Imagery. 参考文献49件. WAXMAN Allen M. MIT Lincoln Laboratory.