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Journals >
Laser & Optoelectronics Progress >
Volume 57 >
Issue 24 >
Page 242802 > Article
Laser & Optoelectronics Progress
Vol. 57, Issue 24, 242802 (2020)
Impact of Plant Surface Features on 3D Laser Point Cloud
Wenbing Xu
1、2
and Xiaojun Cheng
1、*
Author Affiliations
1
College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
2
School of Environmental & Resource Sciences, Zhejiang A & F University, Hangzhou, Zhejiang 311300, China;
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DOI:
10.3788/LOP57.242802
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Wenbing Xu, Xiaojun Cheng. Impact of Plant Surface Features on 3D Laser Point Cloud[J]. Laser & Optoelectronics Progress, 2020, 57(24): 242802
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Fig. 1.
Influence of station distance on ranging accuracy of 3D laser scanner
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Fig. 2.
Average LiDAR data intensity of plants with different colors and roughnesses
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Fig. 3.
Difference of the average LiDAR data intensity of plants with different colors
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Fig. 4.
Difference of the average LiDAR data intensity with different roughnesses
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Fig. 5.
Images of walls point clouds with different colors. (a) Blue; (b) black; (c) red; (d) white; (e) green
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Observed object
Color
Roughness
Observed object
Color
Roughness
Salix babylonica L.
Green
Smooth
Ulmus pumilavar pendula
Green
Rough
Photinia serrulata
Red
Smooth
Prunus cerasifera Ehrh
Red
Rough
Selaginella uncinata
Blue
Smooth
Blue wall
Blue
Rough
Michelia chapensis Dandy
Black
Smooth
Carya
Black
Rough
Michelia alba DC.
White
Smooth
Ginkgo biloba L.
Black
Rough
Phyllostachys edulis
Green
Smooth
Moso bamboo shoot
Brown
Rough
Table 1.
Plant objects observed and its features
No.
X
Y
Z
1
3799.353
-8587.839
1528.367
2
3797.462
-8578.270
1527.036
3
3796.244
-8568.979
1527.605
4
3796.741
-8587.714
1519.758
5
3799.593
-8578.700
1518.189
6
3799.745
-8569.913
1518.526
7
3799.684
-8587.584
1509.643
8
3799.356
-8578.469
1509.250
9
3798.167
-8569.251
1509.496
Mean value
3798.483
-8578.524
1518.652
Reference value
3796.700
-8578.000
1512.000
Difference value
1.783
-0.524
6.652
Table 2.
Coordinate and spatial error of the sampled laser point unit:mm
Observed plant
Surface feature
Average
intensity
Ulmus pumilavar pendula
Green+rough
1994
Salix babylonica L.
Green+smooth
1964
Carya
Black+rough
1383
Michelia chapensis Dandy
Black+smooth
1475
Prunus cerasifera Ehrh
Red+rough
1408
Photinia serrulata
Red+smooth
1139
Blue wall
Blue+rough
1777
Selaginella uncinata
Blue+smooth
1795
Ginkgo biloba L.
Black+rough
1445
Michelia alba DC.
White+smooth
3577
Moso bamboo shoot
Brown+rough
1766
Phyllostachys edulis
Green+smooth
2118
Table 3.
LiDAR data intensity of plants with different colors and roughnesses
Observed object
Colors of
surface
Average
intensity
Intensity
difference
Selaginella uncinata
Blue
1795
-336
Blue wall
Blue
2131
Michelia chapensis Dandy
Black
1475
-239
Black wall
Black
1714
Photinia serrulata
Red
1139
-695
Red wall
Red
1834
Michelia alba DC.
White
3577
-1298
White wall
White
4875
Salix babylonica L.
Green
1964
-1001
Green wall
Green
2965
Table 4.
Comparison of the color influence on LiDAR data intensity of plant and wall
Abstract
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Wenbing Xu, Xiaojun Cheng. Impact of Plant Surface Features on 3D Laser Point Cloud[J]. Laser & Optoelectronics Progress, 2020, 57(24): 242802
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Paper Information
Category: Remote Sensing and Sensors
Received: Feb. 20, 2020
Accepted: Mar. 12, 2020
Published Online: Nov. 17, 2020
The Author Email: Cheng Xiaojun (cxj@tongji.edu.cn)
DOI:
10.3788/LOP57.242802
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