Accuracy Analysis of a Dam Model from Drone Surveys
Abstract
:1. Introduction
2. Case Study and Experimental Set-Up Description
Experimental Set-Up
3. Image Error Analysis
4. Results and Discussion
The Dense Point Cloud Accuracy at the Dam Boundaries
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Density | Layout | |||||
---|---|---|---|---|---|---|
1/9 | a | | b | | ||
1/6 | c | | d | | e | |
2/9 | f | | g | | ||
1/3 | h | | i | | j | |
l | | m | | n | | |
o | | p | | |||
q | | r | | |||
1/2 | s | | t | | u | |
5/9 | v | | ||||
2/3 | w | | x | | y | |
5/6 | z | |
Focal lenght (pix) | fx | 7424.32 |
fy | 7428.37 | |
Principal point offset (pix) | cx | 3654.48 |
cy | 2434.65 | |
Skew coefficient (pix) | skew | −5.89 |
Radial distortion coefficient | k1 | 0.05 |
k2 | −0.25 | |
k3 | 0.04 | |
Tangential distortion coefficent | p1 | 0.00 |
p2 | 0.00 |
Workflow | |
---|---|
Align Photo | |
Accuracy | Medium |
Pair pre-selection | Disabled |
Point Limit | 40,000 |
Build Preliminary Mesh | |
Surface type | Arbitrary |
Source data | Sparse |
Interpolation | Enabled |
Polygon count | Custom |
Point classes | All |
Import GCPs (GCPs Settings) | |
Camera accuracy (m) | 10 |
Marker accuracy (m) | 0.005 |
Tie point accuracy (pix) | 1 |
Build Dense Cloud | |
Quality | Medium |
Depth filtering | Aggressive |
Density | Combination ID | Number of GCP | MAE_x | MAE_y | MAE_xy | MAE_z |
---|---|---|---|---|---|---|
- | m | m | m | m | ||
1/9 | a | 7 | 0.058 | 0.032 | 0.070 | 0.121 |
b | 7 | 0.059 | 0.032 | 0.073 | 0.074 | |
1/6 | c | 9 | 0.053 | 0.033 | 0.067 | 0.087 |
d | 11 | 0.054 | 0.031 | 0.066 | 0.135 | |
e | 9 | 0.052 | 0.031 | 0.064 | 0.087 | |
2/9 | f | 14 | 0.061 | 0.030 | 0.072 | 0.065 |
g | 11 | 0.056 | 0.032 | 0.069 | 0.074 | |
1/3 | h | 20 | 0.053 | 0.030 | 0.065 | 0.077 |
i | 22 | 0.053 | 0.029 | 0.063 | 0.062 | |
j | 21 | 0.054 | 0.029 | 0.066 | 0.066 | |
l | 21 | 0.053 | 0.037 | 0.068 | 0.155 | |
m | 20 | 0.055 | 0.032 | 0.069 | 0.083 | |
n | 20 | 0.056 | 0.030 | 0.069 | 0.065 | |
o | 15 | 0.051 | 0.029 | 0.062 | 0.076 | |
p | 18 | 0.052 | 0.033 | 0.065 | 0.105 | |
q | 31 | 0.049 | 0.027 | 0.059 | 0.073 | |
r | 21 | 0.056 | 0.030 | 0.067 | 0.170 | |
1/2 | s | 31 | 0.054 | 0.031 | 0.066 | 0.075 |
t | 31 | 0.049 | 0.027 | 0.059 | 0.073 | |
u | 29 | 0.055 | 0.030 | 0.068 | 0.076 | |
5/9 | v | 33 | 0.053 | 0.031 | 0.066 | 0.062 |
2/3 | w | 40 | 0.048 | 0.029 | 0.059 | 0.102 |
x | 27 | 0.054 | 0.029 | 0.065 | 0.086 | |
y | 42 | 0.055 | 0.027 | 0.065 | 0.021 | |
5/6 | z | 51 | 0.050 | 0.023 | 0.057 | 0.015 |
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Ridolfi, E.; Buffi, G.; Venturi, S.; Manciola, P. Accuracy Analysis of a Dam Model from Drone Surveys. Sensors 2017, 17, 1777. https://doi.org/10.3390/s17081777
Ridolfi E, Buffi G, Venturi S, Manciola P. Accuracy Analysis of a Dam Model from Drone Surveys. Sensors. 2017; 17(8):1777. https://doi.org/10.3390/s17081777
Chicago/Turabian StyleRidolfi, Elena, Giulia Buffi, Sara Venturi, and Piergiorgio Manciola. 2017. "Accuracy Analysis of a Dam Model from Drone Surveys" Sensors 17, no. 8: 1777. https://doi.org/10.3390/s17081777