Multisensor image fusion and mining: From neural systems to COTS software with application to remote sensing AFE

2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

Volumn , Issue , 2004, Pages 100-107

  Chiarella, M ^a   Fay, D A ^a   Waxman, A M ^a   Ivey, R T ^a   Bomberger, N ^a  

^a BAE SYSTEMS   (United Kingdom)

Author keywords

data mining; feature extraction; image fusion; remote sensing; Sensor fusion; target recognition

Indexed keywords

AERIAL PHOTOGRAPHY; APPLICATION PROGRAMS; ARTIFICIAL INTELLIGENCE; COLOR; DATA FUSION; DATA MINING; DATA VISUALIZATION; EXTRACTION; FEATURE EXTRACTION; IMAGE ENHANCEMENT; IMAGE FUSION; IMAGE PROCESSING; LEARNING SYSTEMS; PATTERN RECOGNITION; REAL TIME CONTROL; SENSOR DATA FUSION; SPACE OPTICS; SPECTROSCOPY; THREE DIMENSIONAL COMPUTER GRAPHICS; USER INTERFACES;

ADAPTIVE CONTRAST ENHANCEMENT; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL IMAGING SYSTEMS; MULTISENSOR IMAGE FUSION; NATIONAL IMAGERY AND MAPPING AGENCIES; REAL-TIME IMPLEMENTATIONS; SENSOR FUSION; TARGET RECOGNITION;

REMOTE SENSING;

EID: 84945267523     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WARSD.2003.1295180     Document Type: Conference Paper

References (18)

1. D.A. Fay, R.T. Ivey, A.M. Waxman, Image Fusion and Mining Tools for a COTS Environment, in Proceedings of the 6th International Conference on Information Fusion, Australia, 2003.
2. A.M. Waxman, D.A. Fay, B.J. Rhodes, T.S. McKenna, R.T. Ivey, N.A. Bomberger, V.K. Bykoski, and G.A. Carpenter, Information fusion for image analysis: Geospatial foundations for higher-level fusion, in 5th International Conference on Information Fusion, Annapolis, 2002.
3. A.M. Waxman, J.G. Verly, D.A. Fay, F. Liu, M.I. Braun, B. Pugliese, W. Ross, and W. Streilein, A prototype system for 3D color fusion and mining of multisensor/spectral imagery, in 4th International Conference on Information Fusion, Montreal, 2001.
4. W. Ross, A. Waxman, W. Streilein, J. Verly, F. Liu, M. Braun, P. Harmon, and S. Rak, Multisensor image fusion for 3D site visualization and search, in 3rd International Conference on Information Fusion, Paris, 2000.
5. W. Streilein, A. Waxman, W. Ross, F. Liu, M. Braun, J. Verly, and C.H. Read, Fused multisensor image mining for feature foundation data, in 3rd International Conference on Information Fusion, Paris, 2000.
6. D.A. Fay, A.M. Waxman, M. Aguilar, D.B. Ireland, J.P. Racamato, W.D. Ross, W.W. Streilein, and M.I. Braun, Fusion of multisensor imagery for night vision: Color visualization, target learning and search, in 3rd International Conference on Information Fusion, Paris, 2000. Also see (same authors) Fusion of 2-/3-/4-Sensor Imagery for Visualization, Target Learning and Search, in Proceeds of the SPIE Conference on Enhanced and Synthetic Vision 2000, SPIE-4023, pp.106-115, 2000.
7. D.A. Fay, A.M. Waxman, J.G. Verly, M.I. Braun, J.P. Racamato, and C. Frost, Fusion of visible, infrared and 3D LADAR imagery, in 4th International Conference on Information Fusion, Montreal, 2001. Also see (same authors) Fusion of Multisensor Passive and Active 3D Imagery, in Proceeds of the SPIE Conference on Enhanced and Synthetic Vision 2001, SPIE-4363, pp. 219-230, 2001.
8. E.A. Newman and P.H. Hartline, The infrared vision of snakes, Scientific American, 246 (March), 116-127, 1982.
9. P. Schiller, and N.K. Logothetis, The color-opponent and broad-band channels of the primate visual system, Trends in Neuroscience, TINS-13, 392-398, 1990.
10. P. Gouras, Color vision, Chapter 31 in Principles of Neural Science (E.R. Kandel, J.H. Schwartz and T.M. Jessell, editors), pp. 467-480, New York: Elsevier Science Publishers, 1991.
11. S. Grossberg, Nonlinear neural networks: Principles, mechanisms and architectures, Neural Networks, 1, 17-61, 1988.
12. D.S. Levine, Introduction to Neural and Cognitive Modeling, 2nd edition, Mahwah, NJ: Lawrence Erlbaum Associates, 2000.
13. J.G. Daugman, Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters, J. Optical Society of America A, 2, pp. 1160-1169, 1985.
14. S. Grossberg and E. Mingolla, Neural dynamics of perceptual grouping: Textures, boundaries and emergent segmentations, Perception & Psychophysics, 38, 141-171, 1985.
15. A.M. Waxman, M.C. Seibert, A. Gove, D.A. Fay, A.M. Bernardon, C. Lazott, W.R. Steele, and R.K. Cunningham, Neural processing of targets in visible, multispectral IR and SAR imagery, Neural Networks, 8, 1029-1051, 1995.
16. G.A. Carpenter, S. Grossberg, and D.B. Rosen, Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system, Neural Networks, 4, 759-771, 1991.
17. G.A. Carpenter, S. Grossberg, N. Markuzon, J.H. Reynolds, and D.B. Rosen, Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps, IEEE Transactions on Neural Networks, 3, pp. 698-713, 1992.
18. T. Kasuba, Simplified Fuzzy ARTMAP, AI Expert, pp. 18-25, Nov 1993.