Full text: Remote sensing for resources development and environmental management (Volume 1)

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4 LITERATURE 
ßodechtel, J.; Kaufmann, H.: Future MOMS developments 
discussions of improvements and possibilities to 
be expected for geologic applications. EARSel/ESA 
Symp. European Remote Sensing, Strasbourg/France 
1985. 
Haydn, R. et al., 1982, Application of IHS Color 
Transform for the Processing of Multispectral Data 
and Image Enhancement, Int. Symp. Rem. Sens, of 
Arid and Semi-Arid Lands, Cairo, Egypt, January, 
pp. 559-616. 
Haralick, R.M., K. Shanmugam, I. Dinstein: Textural 
Features for Image Classification.- IEEE Trans 
actions on Systems, Man and Cybernetics, SMC-3 
(1973, p. 610-621. 
Kahle, B., Lawrence, C.R., Madura, P., Daryl, 1982, 
Rock an Mineral Discrimination Using MID-IR Spec 
tral Emittance Data Combined with Visible and 
Near-IR Spectral Reflectance Data, Proc. 13th 
Intern. Symp., Vol. I, Michigan, USA). 
Kaufmann, H., 1984, A Multiple Approach in Remote 
Sensing for Structural and Lithological Mapping 
by Use of MOMS/LANDSAT/HCMM-Data, EARSEL-ESA-Symp., 
Guilford, 8.-11. April 
Pfeiffer, B.: Klassifizierung mit Zusatzinformationen 
- In: Bähr, H.P.: Digitale Bildverarbeitung - 
Anwendung in Photogrammetrie und Fernerkundung. 
Herbert Wichmann Verlag Karlsruhe, 1985, 
p. 317-345. 
Swain, P.H., S.M. Davis: Remote Sensing: The Quanti 
tative Approach. - Mc Graw-Hi11, New York, 1978, 
396 pages. 
Wu, Ch.: The Decision Tree Approach to Classification 
Purdue University, West Lafayette, 1975. 
in the Karlsruhe 
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