The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Voi. XXXVII. Part Bl. Beijing 2008 
425 
Figure 6. TIN generated from point clouds 
3.8 Experimental Results 
For this case study, four flight strips are picked. As follows: 
m 
1 
i 
m. 
r 
^ k 
mm 
1 ^ 
1 
% 
1 
r 
Figure 7. Distribution of four strips 
According to the above working flow of LiDAR data 
processing (Figure 2), the results are shown in the following 
table: 
roll shift 
I -0.20289257 | 
pitch shift 
! 0.26699907 ! 
heading shift 
1 0.05376117 ! 
roll std 
0.0006 
pitch std 
0.0027 
heading std 
0.0015 
scale 
I -0.00001605 
start dz 
0.7668 
final dz 
0.0465 
z shift 
! -0.14213259 
z std 
0.0024 
Table 1. Results of data processing 
4. CONCLUSION 
Generally, processing of LiDAR data is expected to be fast and 
accurate. However, due to the large amount of data (LiDAR 
data) that comes out of a single mission, the process of 
progressive quality control should be planned carefully, with 
the highest degree of optimization to improve LiDAR data 
accuracy. 
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