The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b. Beijing 2008 
712 
Comer 
no 
(LIDAR) 
Comer precision (unit: m) before fusion 
°Y 
®XYZ 
1 
± L57 
± 1.65 
±0.30 
± 2.30 
2 
o 
+1 
± 1.62 
±0.28 
±2.36 
Comer 
no 
(Image) 
Comer precision (unit: m) after fusion 
<*x 
^z 
OXYZ 
1 
± 0.42 
± 0.39 
±0.28 
±0.64 
2 
±0.43 
±0.38 
±0.26 
±0.63 
3 
± 0.44 
±0.39 
±0.76 
±0.96 
4 
1+ 
o 
±0.37 
. . ± 0,80 
±0.97 
* ° X yz = ± 4 (J x 2 + °f +a z 2 
Table 1. The precision of comer points before/after fusion 
5. CONCLUSION 
This study identifies itself with several significances listed as 
follows: 
(1) . Construct-Shape algorithm gains great efficiency for 
obtaining the initial 3D building roof models when provided 
with 3D line features. 
(2) . The geometric quality of building roof models can be 
improved at the Refine stage by data fusion, especially when 
making use of the complementary sources, such as laser range 
data and imagery in this study. 3 
(3) . The designed interactive operating environment that 
enables the 3D and 2D line feature extractions out of laser 
range data and imagery, respectively, is valuable especially 
when faced with incomplete or incorrect reconstruction due to 
the deficiency of automatic systems or data sets, where manual 
measurements would make up for those insufficiency. 
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