ul 2004 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
  
  
  
  
  
  
  
  
  
Polynomial Regression 
  
  
  
  
  
Triangulation with Linear Moving Average Data Metrics 
  
  
Interpolation 
  
  
  
Local Polynomial 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
| The personal computer used in this experiment was actions, the reference of the performance. Below 
| a Pentium 4,2GHzllmemoryll768MB. record every then for since 40 m DTM put to 5 m, and reduce the 
| kind of time that interpolation method use when acquisition the covariance of result that get with 5 m 
| putting calculation, with the accuracy of conduct and manuscript. 
| Interpolation method Use time Min. Max. Mean STD. Dev. 
| Inverse Distance to a Power 00:23:06 -110.34 126.19 -0.023 8.227 
| Kriging 01:55:29 -104.93 128.63 -0.017 3.602 
| Minimum Curvature 00:02:55 -472.88 510.79 -0.023 10.641 
| Modified Shepard's Method 00:01:08 -119.6 144.34 -0.016 3.586 
| Natural Neighbor 00:11:57 -106.65 126.61 -0.019 3.880 
| Nearest Neighbor 00:01:21 -143.5 175.39 -0.068 8.495 
| Polynomial Regression 00:00:02 -697.88 956.95 0.304 304.533 
| Radial Basis Function (2:22:57 -114.57 132.4 -0.016 3.472 
Triangulation with Linear 00:00:06 -106.31 126.76 -0.018 4.061 
Interpolation 
| Moving Average 00:00:10 -83.86 113.16 0.015 13.612 
  
  
  
  
  
  
  
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