Multispectral image data fusion under a Bayesian approach

International Journal of Remote Sensing

Volumn 17, Issue 8, 1996, Pages 1457-1471

  Mascarenhas, N D A ^a   Banon, G J F ^a   Candeias, A L B ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; INTERPOLATION; MATRIX ALGEBRA; REMOTE SENSING; STATISTICAL METHODS;

BAYESIAN INTERPOLATOR; COVARIANCE MATRIX; MULTISPECTRAL IMAGE DATA FUSION; ORTHOGONALITY PRINCIPLE;

MULTISPECTRAL SCANNERS;

BAYESIAN FRAMEWORK; IMAGE DATA; MULTISPECTRAL DATA; SPOT DATA;

BRAZIL, SAO PAULO CITY;

EID: 0030135685     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431169608948717     Document Type: Article

References (19)

1. Brum, R. E., 1989, Integration of the multispectral and panchromatic channels of the HRV (SPOT) sensor, for obtaining color composites with spatial resolution close to 10m, MSc Thesis, (INPE-5035-TDL/403), INPE, Sao Jose dos Campos, S.P. Brazil (in Portuguese).
2. Candeias, A. L. B., 1992, The use of Bayesian estimation theory on satellite data fusion. MSc Thesis (INPE-5457-TDI/499), INPE, Sao Jose dos Campos, S.P. Brazil (in Portuguese).
3. Carper, J. W., Lillesand, T. M., and Kjefer, R. W., 1990, The use of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image data. Photogrammetric Engineering and Remote Sensing, 56, 459-467.
4. Chavez, S. P. Jr, 1986, Digital merging of LANDSAT TM and digitized NHAP data for 1:24000-scale image mapping. Photogrammetric Engineering and Remote Sensing, 52, 1637-1646.
5. Chavez, S. P. Jr, Sides, S., and Anderson, J. A., 1991, Comparison of three different methods to merge multiresolution and multispectral data: LANDSAT TM and SPOT panchromatic. Photogrammetric Engineering and Remote Sensing, 57, 295-303.
6. Cliche, G., and Bonn, F. P., 1985, Integration of the SPOT panchromatic channel into its multispectral mode for image sharpening-enhancement. Photogrammetric Engineering and Remote Sensing, 51, 311-316.
7. Daily, M. I., Farr, T., and Elachi, C., 1979, Geologic interpretation from composite Radar and Landsat imagery. Photogrammetric Engineering and Remote Sensing, 45, 1109-1116.
8. Dutra, L.V, Menezes, P. R., and Paradella, W. R., 1988, Color enhancement of remote sensing imagery using THS transformations and decorrelation strech methods, In Congress. International Society for Photogrammetry, Commision II, International Archives of Photogrammetry and Remote Sensing (Kyoto, ISPRS), 27, part B10, pp. 312-320.
9. Graybill, F. A., 1969, Introduction to Matrices with Applications in Statistics (Belmont: Wadsworth), pp. 196-221.
10. Haydn, R., Dalke, G. M., Henkel, J. and Bare, J. E., 1982, Application of the IHS color transform to the processing of multisensor data and image enhancement. In Remote Sensing of Arid and Semi-Arid Lands. Proceedings of the 1st Thematic Conference of the International Symposium on Remote Sensing of Environment, Cairo, Egypt, 19-25 January 1982 (Ann Arbor, MI: ERIM), pp. 599-616.
11. Hunt, B. R., and Kubler, O., 1984, Karhunen-Loeve multispectral image restoration, Part I: Theory. I.E.E.E. Transactions on Accoustics, Speech and Signal Processing, 32, 592-599.
12. Jain, A. K., 1989, Fundamentals of Digital Image Processing (Englewood Cliffs, NJ: Prentice Hall).
13. Mascarenhas, N. D. A., Banon, G. J. F., and Fonseca, L. M. G., 1991, Simulation of a panchromatic band by spectral linear combination of multispectral bands. Proceedings of The International Geoscience and Remote Sensing Symposium, Espoo, Finland, June 1991 (New York. I.E.E.E.), pp. 321-324.
14. Mascarenhas, N. D. A., and Fernandes, L. F. V., 1980, New methods for picture reconstruction: recursive and causal techniques. I.E.E.E. Transactions on Pattern Analysis and Machine Intelligence, 2, 369-376.
15. Papoulis, A., 1984, Probability, Random Variables and Stochastic Processes, 2nd edn (New York: McGraw-Hill), pp. 407-414.
16. Pratt, W. K., 1991, Digital Image Processing, 2nd edn (New York: John Wiley).
17. Prince, J. C., 1987, Combining panchromatic and multispectral imagery from dual resolution satellite instruments. Remote Sensing of Environment, 21, 119-128.
18. Rust, W. B., and Burrus, W. R., 1972, Mathematical Programming and the Numerical Solution of Linear Equations (New York: Elsevier), pp. 47-67.
19. Tilton, J. C. (editor), 1991, Multisource data integration in remote sensing, NASA Conference Publication 3099.