Full text: Proceedings, XXth congress (Part 1)

   
   
   
   
    
   
   
  
    
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part Bl. Istanbul 2004 
  
higher change in forest areas is due to mismatching in these 
areas. Many falsely matched points are eliminated in the case of 
the first filter and blunders are eliminated by the median 
filtering. 
Table 3: Comparison of the regularized SPOT-DEM and 
the reference DEM for selected areas and two surface types 
(SPOT DEM - Reference DEM) 
  
     
    
  
  
     
  
  
  
   
  
  
  
  
    
  
  
  
  
  
     
  
  
  
  
  
  
  
Reference | Mean Height | Mean Height Height- 
area Difference [m]| Difference [m] difference 
non-forest/ | forest/ STDV | forest/non- 
STDV forest 
DEM-02 78 1 56 176 / 97 11.9 
DEM-02 85 / 48 150 / 80 7:5 
statist. filter 
DEM-02 80 / 39 172 / 82 9.2 
median filter 
DEM-06 65 / 65 19.0 / 9.0 12.5 
DEM-06 62 / 42 16.9 / 6.8 10.7 
median filtering 
  
  
  
   
   
    
   
   
   
  
    
   
    
    
    
      
   
     
   
   
    
    
    
      
  
  
   
     
   
   
   
  
Fig. 4 shows the difference image of the Laser reference DEM 
to the SPOT DEM, forest areas can be seen clearly (brighter 
grey values) because of the higher mean difference. Also some 
blunders can be seen in the lower right part of the DEM, which 
has not been filtered in this case. 
2 
  
Figure 4. Lower part: Difference DEM (SPOT DEM 
— Reference DEM): Bright: forest areas and some 
blunders, the black parts have no value in the 
reference DEM. Upper part: Map of the same 
Another possibility of comparison is to look at profiles of the 
DEMS along a given line. In the profiles, the structure of the 
DEM and its variability can be seen easily. Fig 5 shows the 
profiles along the same line for the SPOT DEM and the 
reference DEM. The rough structure of the profile is very 
similar, but there is more variability in the SPOT DEM (Fig. 5 
without filtering!). 
  
  
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Figure 5. Profiles of SPOT-DEM (upper) and reference 
DEM (lower) 
7, COMPARISON AND FUSION OF SPOT-DEM WITH 
SRTM-DEM FOR BARCELONA AREA 
Additional to an area based comparison with the reference 
DEM, a SRTM-DEM (derived from data of the Shuttle Radar 
Topography Mission, Bamler et al. 2003) which is available for 
most of the area has been investigated. Table 4 shows the mean 
differences as well as standard deviation and min/max values of 
the differences for four different areas in and around Barcelona. 
Table 4: Area-wise comparison of height of SPOT-/SRTM- 
DEM and reference DEM 
  
  
Reference Size of Mean Height | STDV | Min/Max 
  
  
  
  
  
  
  
  
  
  
  
  
  
area Area Difference [m] | [m] 
SPOT-HRS-DEM 
Barcelona 71 km? 11.2 4.4 47 / +37 
City 
Rural Area 161 km? 10.4 5.9 -59 / +53 
Moderate 105 km? 11-1 6.5 -62 / +63 
Mountain 
Montserrat 84 km? 9.8 13.5 | -158 / *191 
Whole area | 1882 km? 10.0 6.3 | -158/ *191 
SRTM-DEM 
Barcelona 74 km? 1.0 A7 -22/ *25 
City 
Rural Area 161 km? -1.5 4. 432 -98 / +62 
Moderate 105 km? -1.4 8.7 | -215/ +135 
Mountain 
Montserrat 84 km? -1.8 25.2 | -484 / +394 
Whole area 623 km? -1.2 8.5 | -484 / +394 
  
  
  
  
  
  
  
Mean height differences are very similar in all four cases, while 
the standard deviation for HRS-DEM gets higher with more 
slopes and forest areas. In the case of Montserrat, with very 
steep slopes (many above 45°) the standard deviation and the 
min/max values become very high. Applying a coarse 
classification of forest areas, the mean height difference in 
those areas is only 2-3 meters higher. This can be due to less 
dense forest cover than in the Bavarian case. The SRTM-DEM 
shows a very high accuracy in absolute height values due to the 
  
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