[ 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.
