ning aeras 
Ml 
'4/7 
9 
10| 
11 
12 
13 
14 
um 
a x 
ybltbra t 
I 
. 4-. 
il t 
bx 
3P 
1 
79 
1 
79 
1 
79 
206 
206 
206 
72 
72 
72 
308 
308 
308 
69 
69 
69 
39 
39 
39 
160 
160 
160 
68 
68 
68 
63 
1 
i 1 
65 
63 
1 
j 1 
65 
63 
2 
I 
65 
77 
78 
77 
I 
78 
77 
78 
60 
61 
60 
61 
60 
61 
27 
22 
27 
22 
27 
22 
105 
106 
105 
106 
105 
106 
1 
¡322 
329 
j 323 
329 
322 
329 
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 
mbining the 
d classification, 
using the IHS 
ents relief and 
d from classi- 
rategy for