Novel approach to multispectral blind image fusion

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3067, Issue , 1997, Pages 83-93

  Kundur, D ^a   Hatzinakos, D ^a   Leung, H ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b DEPARTMENT OF NATIONAL DEFENCE   (Canada)

Author keywords

Blind image restoration; Multispectral classification; Sensor fusion

Indexed keywords

IMAGE RECONSTRUCTION; MILITARY PHOTOGRAPHY; MULTISPECTRAL SCANNERS; REPAIR; RESTORATION; SENSORS;

BLIND IMAGE RESTORATION; CLASSIFICATION METHODS; CLASSIFICATION SCHEME (CS); MULTI SPECTRAL IMAGING; MULTI-SPECTRAL (MS); MULTISPECTRAL CLASSIFICATION; NOVE L APPROACH; SENSOR FUSION; SIMULATION RESULTS;

IMAGE FUSION;

EID: 4344600023     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.276116     Document Type: Conference Paper

References (13)

1. M. A. Abidi and R. C. Gonzalez, Data fusion in Robotics and Machine Intelligence, Toronto: Academic Press, Inc., 1992.
2. D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Signal Processing Magazine, vol. 13(3), pp. 43-64, May 1996.
3. A. K. Jain, Fundamentals of Image Processing, Englewood Cliffs, New Jersey: Prentice-Hall Inc., 1989.
4. A. K. Katsaggelos, ed., Digital Image Restoration, chapter 1, New York: Springer-Verlag, 1991.
5. J. Biemond, R. L. Lagendijk and R. M. Mersereau, "Iterative methods for image deblurring," Proc. IEEE, vol. 78(5), pp. 856-883, May 1990.
6. B. Chandrasekaran and A. Goel, "From numbers to symbols to knowledge structures: artificial intelligence perspectives on the classification task," IEEE Trans. on Systems, Man and Cybernetics, vol. 18(3), pp. 415-424, May/June 1988.
7. T. Lee, J. A. Richards and P. H. Swain, "Probabilistic and evidential approaches for multisource data analysis," IEEE Trans. Geosci. and Remote Sensing, vol. 25(3), pp. 283-293, May 1987.
8. J. A. Benediktsson, P. H. Swain and O. K. Ersoy, "Neural network approaches versus statistical methods in classification of multisource remote sensing data," IEEE Trans. Gensci. Remote Sensing, vol. 28(4), pp. 540-552, July 1990.
9. S. B. Serpico and F. Roli, "Classification of multisensor remote-sensing images by structured neural networks," IEEE Trans. Gensci. Remote Sensing, vol. 33(3), pp. 562-577, May 1995.
10. K. S. Chen, D. H. Tsay, W. P. Huang, Y. C. Tzeng and D. T. Wang, "Terrain-cover classification by integration of SPOT and ERS-1 SAR images over Taiwan," Proc. IGARSS-95, vol. 3, pp. 1912-1914, 1995.
11. A. H. S. Solberg, T. Taxt and A. K. Jam, "A Markov random field model for classification of multisource satellite imagery," IEEE Trans. Geosci. Remote Sensing, vol. 34(1), pp. 100-113, Jan. 1996.
12. D. Kundur and D. Hatzinakos, "Blind image restoration via recursive filtering using deterministic constraints," IEEE Int. Conf. on Acoustics, Speech and Signal Processing, Atlanta, May 1996.
13. D. Kundur, Blind Deconvolution of Still Images using Recursive Inverse Filtering, M.A.Sc. Thesis, University of Toronto, 1995.