[ with the original 
.ower slop, while 
Fig. 8. The synthetic image constructed from DTM of 
Te Chi area. 
Grimson, W. E. L., 1981, "From Images To Surfaces", 
The MIT Press. 
Mckeown, D. M., G. E. Lukes, 1984, "Digital Mapping 
and Image Understandings", ISPRS, Commission 
III, pp. 690-697. 
Pratt, W. K., 1978, "Digital Image Processing", New 
York wiley. 
Ragan, R. M., 1978, "Information Requirements for 
Evaluation and Management of Water Resources", 
Proc. Ninth International Symposium, Machine 
Processing of Remotely Sensed Data, Purdue 
University, pp. 9-13. 
Ragan, R. M. and Fellows, J., 1976, "Development of a 
Regional Information System for Hydrologic 
Modeling", University of Maryland, Technical Report 
46. 
Ragan, R. M. and Jackson, T. J., 1975, "Use of 
Satellite Data in Urban Hydrologic Models", Journal 
of Hydraulics Division, American Society oif Civil 
Engineers. 
Rioley, B. D., 1981, "Spatial Statistics", Wily. 
Rosenfeld, A. and A. C. Kek, 1982, "Digital Picture 
Processing", 2nd Edition, Acadamic Press. 
Sincar, J. K. and R. M. Ragan, 1984, "An Interactive 
Technique Generate Digital Elevation Data 
Using A Vidicon Camera", The Sth William I. Pecora 
Mamorial Remote Sensing Synposium, IEEE Computer 
Society Press, pp.411-418. 
Sircar, J. K., 1984, "An Interactive Technique To 
Generate Digital Elevation Data ", Hydrologic 
Research Series, Remote Systems Sensing Laboratory, 
University of Maryland. 
Tempfli, K., 1977, "Notes on Interpolation", Interna 
tional Institude For Aerial Survey And Earth 
Saences Enschede. 
CYBERNET SERVICES,1981, "Surface Approximation and 
Contour Mapping (SACM) User's Guide", Control Data 
Corporation Pub. 
TRW/ESL, 1985, "Interactive Digital Image 
Manipulation System (IDIMS) VAX-IDIMS Function 
Guide", TRW/ESL, ESL-TM1382. 
. A ridge line is 
ight half of the 
Fig. 9. LANDSAT 5 TM image band 5, taken on August 
22, 1984, of the same area. 
pability of our 
hetic image", as 
computed digital 
rey level at each 
ine of the angle 
-light and local 
e range of 0° and 
ero when the angle 
sons, a protion of 
2, 1984 over the 
The band 4 of TM 
The similarities 
he TM image are 
s, valleys and 
d in Fig. 8. Most 
ly visible in the 
atching can not be 
that the ridge at 
at less in Fig. 8 
ocate the ground 
and a satellite 
rom the fact that 
of stereography, 
ry. With the help 
the control points 
Indeed, Fig. 8 is 
control points are 
selected for registration. With the second order 
polynomial for mapping function, the residual error 
is 0.8 pixels. 
In conclusion, our algorithm is less efficient 
compared to that of Sirca and Ragan (1984). This is 
because several iteration process seems to be 
inevitable if "consistent" interpolation is required 
in a mountaineous terrain. At the expense of some 
computer time, we are able to obtain a more 
realistic Digital Elevation Model for this type of 
terrains. 
REFERENCES 
Capouetti L., M. T. Chiaradia, A. Distante and M. 
Veneziari, 1984, "A Track-following Algorithm For 
Contour Lines of Digital Binary Digital Image 
Analysis", Edited by S. Levialdi. 
Colwell, R. N. 1983, "Munual of Remote Sensing", 
Chap. 19. American Society of Photogrammetry. 
Duda, R. 0., E. Hart, 1973, "Pattern Classification 
And Scene Analysis", John Wiley & Sons, pp. 356- 
362. 
Faintich, M. B., 1984, "State-of-the-Art And Future 
Needs For Developement of Digital Terrain Models , 
ISPRS, comission III,pp. 180-196.