DocumentCode :
2995831
Title :
A computational multi-kernel approach to multi-sensor problems using cross-referencing (CREF)
Author :
Case, W.R. ; Bertram, B.S.
Author_Institution :
Signature Res., Inc., MI, USA
fYear :
2005
fDate :
13-15 Dec. 2005
Firstpage :
68
Lastpage :
70
Abstract :
This paper attempts to show how multi-sensor imagery data may be used to generate image reconstructions that are superior to any produced from individual sensors, and to provide a plausibility argument as to why this comes about. The case of two sensors will be considered for convenience and brevity.
Keywords :
image reconstruction; image sensors; sensor fusion; computational multikernel approach; cross-referencing; image reconstructions; multisensor imagery data; multisensor problems; Additive noise; Hilbert space; Image generation; Image reconstruction; Image sensors; Integral equations; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on
Conference_Location :
Puerto Vallarta
Print_ISBN :
0-7803-9322-8
Type :
conf
DOI :
10.1109/CAMAP.2005.1574185
Filename :
1574185
Link To Document :
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