### Table 1: DEM datasets used for testing the simplification algorithms.

### Table 4: DEM datasets used for testing the simpli cation algorithms.

### Table 1: DEM datasets used for testing the simplification algorithms.

### Table 4: DEM datasets used for testing the simpli cation algorithms.

1995

### Table 4: DEM datasets used for testing the simpli#0Ccation algorithms.

1995

### Table 2. Differences between theoretical and DEM computed upslope area for test examples expressed in terms of the mean error (bias) and mean square error (MSE).

1997

Cited by 11

### Table 2. Differences between theoretical and DEM computed upslope area for test examples expressed in terms of the mean error (bias) and mean square error (MSE).

1997

Cited by 11

### Table 1: Speci cations for the DEMs. 3 Experiments These measures have been extensively tested on a variety of DEMs. The root-mean-squared error (RMSE) is computed at all points i as rPn i=1 e2 i n , where ei is the di erence between the DEM height at i and the TIN approximation. The mean-absolute error (MAE) is computed at all points i as Pn i=1 jeij n . The MAE is less sensitive to large errors than the RMSE and gives a better picture of the behavior of the approximation.

2001

"... In PAGE 5: ... The MAE is less sensitive to large errors than the RMSE and gives a better picture of the behavior of the approximation. Table1 shows the speci cations for the DEMs tested. All are taken from the USGS 1:24000 series DEMs.... In PAGE 28: ...966 1.021 SVS SSVS NV VS AVS VV SNS ANS NS Table1 0: Without structural lines: Average ratio of RMSE for each measure, for a given number of points, to the RMSE for the same number of points using the max vertical criterion, for compact TINs.... In PAGE 29: ...805 0.821 SSVS VS SVS AVS NV SNS VV ANS NS Table1 1: With structural lines: Average ratio of RMSE for each measure, for a given number of points, to the RMSE for the same number of points using the max vertical criterion, for compact TINs.... In PAGE 30: ...730 0.768 VS SSVS SVS AVS ANS NS NV SNS VV Table1 2: With structural lines: Average ratio of MAE for each measure, for a given number of points, to the MAE for the same number of points using the max vertical criterion, for compact TINs.... In PAGE 31: ...823 0.833 SVS VS AVS SSVS NV SNS ANS NS VV Table1 3: Without structural lines: Average ratio of MAE for each measure, for a given number of points, to the MAE for the same number of points using the max vertical criterion, for compact TINs.... ..."

Cited by 1

### Table 2. Comparison between the ASTER-DEM and the reference DEMs.

"... In PAGE 4: ... From this data the RMSE is computed. The results obtained for each block with the measured DEM are reported in Table2 and the error distribution is visually represented in the first column of Table 3. Table 2.... ..."

### Table 1 Images and DEMs Used

"... In PAGE 2: ... Additionally, a non-conventional low- altitude stereopair (L) of a prehistoric excavation, taken with a Wild P31 camera from a helicopter, was studied. Table1 gives the essential information. Table 1 Images and DEMs Used... ..."