Thanks Bill,
you were right. Somehow I mixed up my east and north coordinates, the
line coordinates where outside my data set.
Thanks for the hint.
Desiree
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Desiree Hilbring
Institut fuer Photogrammetrie und Fernerkundung
Universitaet Karlsruhe, Germany
email: hilbring@xxxxxxxxxxxxxxxxxxxx
# 0721 6083676
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On Thu, 15 Apr 2004, Bill Hibbard wrote:
> Hi Desiree,
>
> I cannot see any obvious problem. Make sure that the line
> from:
>
> (linePointCalc.x - lineVector.x, linePointCalc.y - lineVector.y)
>
> to:
>
> (linePointCalc.x + lineVector.x, linePointCalc.y + lineVector.y)
>
> overlaps the rectangle from (northMin, eastMin) to
> (northMax, eastMax).
>
> Good luck,
> Bill
>
> On Thu, 15 Apr 2004, Desiree Hilbring wrote:
> > until now I resampled an Irregular2DSet resembling a terrain surface, for
> > achieving a
> > profile line the following way, which worked very well:
> > RealType x2 = RealType.getRealType("x");
> > RealType y2 = RealType.getRealType("y");
> > RealType height2 = RealType.getRealType("height");
> > RealTupleType xy2 = new RealTupleType(x2, y2);
> > FunctionType terrain_type2 = new FunctionType(xy2,height2);
> > Irregular2DSet set2 = new Irregular2DSet(
> > xy2,
> > new float[][] { eastValues,northValues });
> > FlatField terrain2 = new FlatField(terrain_type2,set2);
> > terrain2.setSamples(new float[][] { heightValues});
> >
> >
> > // Why 2000 points? Try and error, it was okay for
> > // dataset with max. 50 points.
> > // The more points, the better fit of the profile to the terrain.
> > double[][] lineCoordinates = new double[2][2000];
> > double j = -1;
> > for (int i = 0; i < 2000; i++) {
> > lineCoordinates[0][i] = linePointCalc.x +j * lineVector.x;
> > lineCoordinates[1][i] = linePointCalc.y +j * lineVector.y;
> > j = j + 0.001;
> > }
> > Gridded2DDoubleSet gridded2DSet
> > new Gridded2DDoubleSet(xy2,
> > lineCoordinates, 2000);
> > FlatField line =(FlatField) terrain2.resample(
> > gridded2DSet,
> > Data.WEIGHTED_AVERAGE,
> > Data.NO_ERRORS);
> > System.out.println(line.toString());
> >
> > Now I have a grid data set with a lot more points so I want to use a
> > Linear2DSet as my original data set instead of the Irregular2DSet
> > (which is very slow now, because I have many more terrain points):
> >
> > RealType eastV =RealType.getRealType("eastValues");
> > RealType northV =RealType.getRealType("northValues");
> > RealType heightV =RealType.getRealType("heightValues");
> > domain_tuple = new RealTupleType(eastV, northV);
> > func_en_h = new FunctionType(domain_tuple,heightV);
> > domain_set = new Linear2DSet(
> > domain_tuple,
> > northMin,
> > northMax,
> > nRows,
> > eastMin,
> > eastMax,
> > nCols);
> >
> > double[][] flat_samples = new double[1][nCols *nRows];
> > for (int c = 0; c < (nRows); c++) {
> > for (int r = 0; r < (nCols); r++) {
> > // dgm 1 x y z
> > flat_samples[0][c * nCols + r] =height[c * nCols + r];
> > }
> > }
> > vals_ff = new FlatField(func_en_h, domain_set);
> > vals_ff.setSamples(flat_samples, false);
> >
> > // Why 2000 points? Try and error, it was okay for
> > // dataset with max. 50 points.
> > // The more points, the better fit of the profile to the terrain.
> > double[][] lineCoordinates = new double[2][2000];
> > double j = -1;
> > for (int i = 0; i < 2000; i++) {
> > lineCoordinates[0][i] = linePointCalc.x + j *lineVector.x;
> > lineCoordinates[1][i] = linePointCalc.y + j *lineVector.y;
> > j = j + 0.001;
> > }
> >
> > Gridded2DDoubleSet gridded2DSet
> > new Gridded2DDoubleSet(domain_tuple,
> > lineCoordinates, 2000);
> > FlatField line =(FlatField) vals_ff.resample(
> > gridded2DSet,
> > Data.WEIGHTED_AVERAGE,
> > Data.NO_ERRORS);
> > System.out.println(line.toString());
> >
> > The problem is, that I only get missing values in the FlatField line. What
> > am I doing wrong?
> > Thanks for your help.
> >
> > Greetings Desiree
> >
> >
> > oooooooooooooooooooooooooooooooooooooooooooooooo
> > Desiree Hilbring
> >
> > Institut fuer Photogrammetrie und Fernerkundung
> > Universitaet Karlsruhe, Germany
> > email: hilbring@xxxxxxxxxxxxxxxxxxxx
> > # 0721 6083676
> > oooooooooooooooooooooooooooooooooooooooooooooooo
> >
> >
> >
>
>