International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
If V (1, J) represents the elevation value of the grid point G (4, J),
dx and dy are coordinate increments in axis X and axis Y
respectively from P (x, y) to its down left corner G (I, J), AX =
dx / d, AY = dy / d (d is the grid size of the GRID), elevation
value of a stochastic point P can be formulated like this:
HP (x, y))=(1- 02)*(1- A Y)*V(LJ)- AX*(1)- AY) VQ MJ) O-
2X AYE WLI yr AX 4 FEV] J)
As the elévation value of each grid point (e.g. G (4. J)) is
available in DEM data of GRID type and each random point
with known coordinate values could be located in a certain grid
as illustrated in fig.14, elevation computations for each sample
point could be carried out using above formula, then.
3.5 Output results
A delimited format of text file has been outputted to help record
the output results of the algorithm, as shown in following fig.15,
#7) Sect.tut - IPE ; 2
ILE) ale) al) HERC d
1:3008088.61,2596710.93,—2.5,538007.0 —
29,520027.02,2596550.55,—0.88,53090
530057 .07 ,2596538.3,0.5,53|0054.23,
530087 .1,2596536.95,90.76,530084.21
.5380118.3,25965n9.5,9.19,530115.28
530158.33,259655^7.25,—1.51,530155.
20178.36,259655hn.96,—2.16,530175.2
92908 .36,2596542 .64,-2-16,53602605 .22
.35,530238.37,2596550.27,—2,530235
.4h6,520268.37,2596537.88,—2.02,5390
57,.75,30298.54,2596535.48,—2.08,53029 .
uf
ad -
Fig.15 output meshes in formatted text file
i zr xi
Each text line has numerically expressed one section along the
river, which is composed of delimited (X, Y, Z) values of each
sampling points in sequence, further transformations could be
carried out on this formatted text file, too, e.g. transformed file
could directly be imported into TecPlot9.0 and corresponding
meshes will be displayed vividly in pictures.
4. EVALUATIONS AND CONCLUSIONS
£90000
650000
600000
(Uni t:meter)
330000
^
2600000 p=
530000
2590000 p=
25830000 f=
2570000 f=
2560000 f=
2550000
Fig.16 output meshes of the whole river trunk (contrasted with Fig.1)
As a good contrast to fig.1, output meshes of the whole river
trunk in above fig.16 have been capable of preserving boundary
characteristics of the river fairly well, so it comes to a
conclusion that the algorithm is well boundary-fitted as required.
Following pictures in fig.17 give us a brief look at the output
meshes of the automatic generation algorithm in some
representative parts of the river, as have been magnified to
show it clearly, each picture could only give us part view of the
whole river in 2D.
EER
A
bare
17 (b) vertical part
17(c) at the corner 17 (d) gradient parts
Fig.17 output meshes of the automatic generation algorithm in
representative areas of the river
As can be conclude from fig.17 (a) to (d), structure of the
output meshes is steady and distribution of all the meshes is
auto-adaptive to the variation of the river way in 2D,
unfavourable phenomena such as “overlapping” and “wresting”
could be eliminated efficiently.
Fig.18 output meshes of a certain part of the river in 3D
Fig.19 original 3D spatial distribution of the same part
Experiments based on random sampling method have been
carried out to evaluate the precision of this algorithm especially
on elevation interpolation; average error of the elevation values
in centimetres does exist in these sampling experiments, in
which the spatial resolution of the DEM is 30 meters or even
larger, however, exceptional error in decimetres seldom
appears, as illustrated in fig.18 and fig.19 by comparison,
though these two pictures are local snapshots of different
software (TecPlot9.0 and ArcGIS 3D Analyst (GIS By
ESRI"M 2004)), respectively, both the grid size (d = 30 meters)
and the average interval between those sampling points (60
meters or so)in each section are large in very number, spatial
distributions of same part of the river are very much alike as
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