Filtering SPOT imagery by kriging analysis

International Journal of Remote Sensing

Volumn 21, Issue 4, 2000, Pages 735-752

  Oliver, M A ^a   Webster, R ^b   Slocum, K ^c  

^a UNIVERSITY OF READING   (United Kingdom)

^b ROTHAMSTED RESEARCH   (United Kingdom)

^c Topographic Engineering Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL IMAGE; KRIGING; SPOT;

EID: 0034629398     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311600210542     Document Type: Article

References (17)

1. Akaike, H., 1973, Information theory and an extension of maximum likelihood principle. In Second International Symposium on Information Theory, edited by B. N. Petrov and F. Csaki (Budapest: Akademia Kiado), pp. 267-281.
2. Bourgault, G., and Marcotte, D., 1993, Spatial filtering under the linear coregionalization model. In Geostatistics Troia '92, Volume 1, edited by A. Soares (Dordrecht: Kluwer), pp. 237-248.
3. Carr, J. R., and Myers, D. E., 1984, Applications of the theory of regionalized variables to the spatial analysis of Landsat data. In Proceedings of the 9th William T. Pecora Memorial Remote Sensing Symposium, Institute of Electrical and Electronic Engineers (IEEE) (Silver Spring, Maryland: Computer Society Press), pp. 55-61.
4. Dancy, K. J., Webster, R., and Abel, N. O. J., 1986, Estimating and mapping grass cover and biomass from low-level photographic sampling. International Journal of Remote Sensing, 7, 1679-1704.
5. Franklin, J., 1995, Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Progress in Physical Geography, 19, 474-499.
6. Gani, A., Gerdil-Neuinet, F., and Dadou, C., 1984, Factorial kriging analysis: a substitute to spectral analysis of magnetic data. In Geostatistics for Natural Resource Characterization, edited by G. Verly, M. David, A. Journel and A. Marechal (Dordrecht: D. Reidel), pp. 543-557.
7. Genstat 5 Committee, 1993, Genstat 5 Release 3 Reference Manual (Oxford: Oxford University Press).
8. Goovaerts, P., and Webster, R., 1994, Scale-dependent correlation between top-soil copper and cobalt concentrations in Scotland. European Journal of Soil Science, 45, 79-95.
9. Jaquet, O., 1989, Factorial kriging analysis applied to geological data from petroleum exploration. Mathematical Geology, 21, 683-691.
10. Ma, Y. Z., and Royer, J., 1988, Local geostatistical filtering-application to remote sensing. Sciences de la Terre, Série Informatique, 23, 985-986.
11. Matheron, G., 1965, Tes variables regionalisees et leur estimation (Paris: Masson).
12. Matheron, G., 1982, Pour une analyse krigeante de donnees regionalisees. Note N-732 du Centre de Geostatistique (Fontainebleau: Ecole des Mines de Paris).
13. Satterwhite, M., Rice, W., and Shipman, J., 1984, Using landform and vegetative factors to improve interpretation of Landsat imagery. Photogrammetric Engineering and Remote Sensing, 50, 83-91.
14. Van Der Meer, F., 1993, Classification of high spectral resolution imagery using an indicator kriging based technique. In Geostatistics Troia '92, Volume 2, edited by A. Soares (Dordrecht: Kluwer), pp. 829-840.
15. Webster, R., Curran, P. J., and Munden, J. W., 1989, Spatial correlation in reflected radiation from the ground and its implications for sampling and mapping by ground- based radiometry. Remote Sensing of Environment, 29, 67-78.
16. Wen, R., and Sinding-Larsen, R., 1997, Image filtering by factorial kriging-sensitivity analysis and application to Gloria side-scan sonar images. Mathematical Geology, 29, 433-468.
17. Woodcock, C. E., Strahler, A. H., and Jupp, D. L. B., 1988, The use of variograms in remote sensing. II. Real digital images. Remote Sensing of Environment, 25, 349-379.