Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Voi. XXXVIII, Part 7B 
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Figure 6: Canopy height underestimation for the ascending triplet 
after the proposed height correction. 
(c) TerraSAR-X CHM 
'b' A '»' V , 
(d) LiDAR CHM 
(a) backscatter 
(b) coherence 
^ : — 
-25.0m -12.5m +0.0m +12.5m +25.0m 
(e) TerraSAR-X DSM error (f) topographic map 
Figure 4: Exemplary results of DSM and CHM extraction. The 
TerraSAR-X DSM (a), LiDAR reference DTM (b), TerraSAR- 
X CHM (c), LiDAR CHM (d), color coded TerraSAR-X height 
error (e), and a topographic map for visual comparison (f). A 
subset of 7.1 x 7.6 km 2 is shown. 
- 
r 1— 
• ■ 1. j 
i 
t 
■ 1 
* * *"**"*'*■--.*. 
® LiDAR canopy height 
— LiDAR average canopy height 
• TerraSAR-X canopy height 
—TerraSAR-X average canopy height 
percentage of underestimation 
uncertainty of underestimation 
---J* • ♦ 
i i 
35 
30 40 
measurements 
Figure 5: Canopy height underestimation for the ascending triplet 
before the proposed height correction. 
(e) ground truth segmentation (f) TerraSAR-X segmentation 
Figure 7: Exemplary input data used for image segmentation (a- 
d), ground truth segmentation based on laser scanner vegetation 
height model (e) and TerraSAR-X based segmentation (f). 
(c) texture 
(d) canopy height model
	        
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