. The
ligital
. time
up of
tional
isting
s and
'ener-
nakes
orate
lating
round
paper
lysis.
ty of
treo-
ogra-
nage-
| sub-
s on
raphy
rksta-
addi-
urs at
DEM
d) To analyse the results.
3. HARDWARE / SOFTW ARE
CONFIGURATION USED
a) Inter Map Analytic Photogrammetric worksta-
tion
b) IMA SPOT software
c) Digital Terrain Modelling software
d) IGDS software
4. DATA USED
Data Set A
1) Stereo-imageries Left Right
No. 11733 - 055028 11365 - 052654
View angle + 19.96 - 18.44
Date of pass 20.11.1990 17.11.1990
ii) Scale of aerial photography 1: 25,000
Data Set B
1) Stereo-imageries Left Right
No. 11114-055630 11115-053711
View angle * 15.16 - 18.16
Date of pass 11.03.1989 12.03.1989
587
5. METHOD
5.1 Data capture for updation :
Control points were selected at the planning stage
and it was ensured that the control points used for
setting up the stereo spot - imageries were se-
lected in such a way that their identification was
beyond doubt on maps and stereo-imageries. In
case of Data set A , the points were also identi-
fied on aerial photographs. The coordinates of
control points were readout from 1:50,000 scale
maps. A number of well spread out check points
were selected for the subsequent analysis.
The SPOT stereo-imageries were setup on Inter
Map Analytic Photogrammetric Workstation and
were processed for the full solution. A few con-
trol points configuration were tried till the solu-
tion converged and was accepted for each data
set. The models were then evaluated by making
a through comparision between the map and the
3-D model of the stereo-imagery.
Deliberate comparision was made between the
existing maps and the stereo-imageries and the
details, not appearing in the map, but which ap-
peared in the stereo model, were stereo digitized
as per the pre-determined data structure.
5.2 Terrain Modelling :
The stereo SPOT model was used for collecting
DEM data. The sampling pattern was chosen
keeping in view the type of terrain. Basically
there are two methods in which DEM data is
collected : uniformly spaced points and non-
uniformly spaced points with X, Y, Z triplets.
Generally non-uniformaly spaced points have
more adaptive ability of the terrain. Keeping all
the factors in view such as type of terrain, purpose
of DEM, equipement available, processing and
storage facilities ; the DEM data was collected by
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996