| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:59263028:4697 |
| Source | marc_columbia |
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LEADER: 04697cam a22006854a 4500
001 15074867
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006 m o d
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008 050316s2006 flua ob 001 0 eng c
035 $a(OCoLC)ocn309876228
035 $a(NNC)15074867
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020 $a1420026984$q(electronic bk.)
020 $a9781420026986$q(electronic bk.)
020 $a9781315221069
020 $a1315221063
020 $a9781351828260
020 $a1351828266
020 $z0849334179
020 $z9780849334177
024 7 $a10.1201/9781315221069$2doi
035 $a(OCoLC)309876228$z(OCoLC)76881130$z(OCoLC)276798577$z(OCoLC)647620487$z(OCoLC)899154841$z(OCoLC)987778063$z(OCoLC)991906799$z(OCoLC)994925506$z(OCoLC)1006797339$z(OCoLC)1031041395$z(OCoLC)1065980796
037 $aTANDF_186693$bIngram Content Group
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050 4 $aTJ217.5$b.M86 2005
072 7 $aTEC$x009070$2bisacsh
082 04 $a621.36/7$222
049 $aZCUA
245 00 $aMulti-sensor image fusion and its applications /$cedited by Rick S. Blum and Zheng Liu.
260 $aBoca Raton, FL :$bTaylor & Francis,$c2006.
300 $a1 online resource (xv, 505 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $adata file$2rda
490 1 $aSignal processing and communications ;$v25
504 $aIncludes bibliographical references and index.
505 0 $aFront cover; Preface; Editors; Contributors; Table of Contents; Dedication; 1. An Overview of Image Fusion*; 2. Mutual Information Based Image Registration with Application to 3D Medical Brain Imagery; 3. Studies on Registration and Fusion of Retinal Images; 4. Nonrigid MR/US Registration for Tracking Brain Deformations; 5. Multisensor Data Inversion and Fusion Based on Shared Image Structure; 6. Entropic Graphs for Registration; 7. Fusion of Images from Different Electro-Optical Sensing Modalities for Surveillance and Navigation Tasks.
505 8 $a8. A Statistical Signal Processing Approach to Image Fusion Using Hidden Markov Models9. Multimodal Human Recognition Systems; 10. Change Detection/ Interpretation with Evidential Fusion of Contextual Attributes -- Application to Multipass RADARSAT-1 Data; 11. Multisensor Registration for Earth Remotely Sensed Imagery; 12. System and Model-Based Approaches to Data Fusion for NDE Applications; 13. Fusion of Multimodal NDI Images for Aircraft Coroosion Detection and Quantification; 14. Fusion of Blurred Images.
505 8 $a15. Gaze-Contingent Multimodality Displays for Visual Information Fusion: Systems and Applications16. Structural and Information Theoretic Approaches to Image Quality Assessment; Index.
520 $aTaking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, color-related techniques, model-based methods, and visual information display strategies. After a review of state-of-the-art image fusion techniques,
650 0 $aIntelligent control systems.
650 0 $aMultisensor data fusion.
650 6 $aCommande intelligente.
650 6 $aFusion multicapteurs.
650 7 $aTECHNOLOGY & ENGINEERING$xMechanical.$2bisacsh
650 7 $aIntelligent control systems.$2fast$0(OCoLC)fst00975911
650 7 $aMultisensor data fusion.$2fast$0(OCoLC)fst01029095
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aBlum, Rick S.
700 1 $aLiu, Zheng,$d1969 July 7-
776 08 $iPrint version:$tMulti-sensor image fusion and its applications.$dBoca Raton, FL : Taylor & Francis, 2006$w(DLC) 2005041824
830 0 $aSignal processing and communications ;$v25.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15074867$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS