Terrestrial Laser Scanning Intensity Correction by Piecewise Fitting and Overlap-Driven Adjustment

被引:44
作者
Xu, Teng [1 ]
Xu, Lijun [1 ]
Yang, Bingwei [1 ]
Li, Xiaolu [1 ]
Yao, Junen [2 ]
机构
[1] Beihang Univ, Sch Instrument Sci & Optoelect Engn, State Key Lab Inertial Sci & Technol, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Phys & Nucl Energy Engn, Minist Educ, Key Lab Micronano Measurement Manipulat & Phys, Beijing 100191, Peoples R China
来源
REMOTE SENSING | 2017年 / 9卷 / 11期
基金
中国国家自然科学基金;
关键词
intensity correction; terrestrial laser scanning; roughness; Oren-Nayar model; overlap-driven; LIDAR INTENSITY; RADIOMETRIC CALIBRATION; INCIDENCE ANGLE; AIRBORNE; RANGE; REFLECTANCE; EXTRACTION; SURFACES; MODEL;
D O I
10.3390/rs9111090
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Terrestrial laser scanning sensors deliver not only three-dimensional geometric information of the scanned objects but also the intensity data of returned laser pulse. Recent studies have demonstrated potential applications of intensity data from Terrestrial Laser Scanning (TLS). However, the distance and incident angle effects distort the TLS raw intensity data. To overcome the distortions, a new intensity correction method by combining the piecewise fitting and overlap-driven adjustment approaches was proposed in this study. The distance effect is eliminated by the piecewise fitting approach. The incident angle effect is eliminated by overlap-driven adjustment using the Oren-Nayar model that employs the surface roughness parameter of the scanned object. The surface roughness parameter at a certain point in an overlapped region of the multi-station scans is estimated by using the raw intensity data from two different stations at the point rather than estimated by averaging the surface roughness at other positions for each kind of object, which eliminates the estimation deviation. Experimental results obtained by using a TLS sensor (Riegl VZ-400i) demonstrate that the proposed method is valid and the deviations of the retrieved reflectance values from those measured by a spectrometer are all less than 3%.
引用
收藏
页数:16
相关论文
共 40 条
[1]  
[Anonymous], 2014, CLOUDCOMPARE 3D POIN
[2]  
[Anonymous], 2006, INT ARCH PHOTOGRAMM, DOI DOI 10.1080/136588100750022796
[3]   A METHOD FOR REGISTRATION OF 3-D SHAPES [J].
BESL, PJ ;
MCKAY, ND .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (02) :239-256
[4]   Correction scheme for close-range lidar returns [J].
Biavati, Gionata ;
Di Donfrancesco, Guido ;
Cairo, Francesco ;
Feist, Dietrich G. .
APPLIED OPTICS, 2011, 50 (30) :5872-5882
[5]   Automatic Extraction of Planar Clusters and their Contours on Building Facades Recorded by Terrestrial Laser Scanner [J].
Boulaassal, H. ;
Landes, T. ;
Grussenmeyer, P. .
INTERNATIONAL JOURNAL OF ARCHITECTURAL COMPUTING, 2009, 7 (01) :1-20
[6]   Object-oriented land cover classification of lidar-derived surfaces [J].
Brennan, R. ;
Webster, T. L. .
CANADIAN JOURNAL OF REMOTE SENSING, 2006, 32 (02) :162-172
[7]   LIDAR INTENSITY AS A REMOTE SENSOR OF ROCK PROPERTIES [J].
Burton, Darrin ;
Dunlap, Dallas B. ;
Wood, Lesli J. ;
Flaig, Peter P. .
JOURNAL OF SEDIMENTARY RESEARCH, 2011, 81 (5-6) :339-347
[8]   Correction of terrestrial LiDAR intensity channel using Oren-Nayar reflectance model: An application to lithological differentiation [J].
Carrea, Dario ;
Abellan, Antonio ;
Humair, Florian ;
Matasci, Battista ;
Derron, Marc-Henri ;
Jaboyedoff, Michel .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 113 :17-29
[9]   Intensity Correction of Terrestrial Laser Scanning Data by Estimating Laser Transmission Function [J].
Fang, Wei ;
Huang, Xianfeng ;
Zhang, Fan ;
Li, Deren .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (02) :942-951
[10]   Discrimination between marls and limestones using intensity data from terrestrial laser scanner [J].
Franceschi, Marco ;
Teza, Giordano ;
Preto, Nereo ;
Pesci, Arianna ;
Galgaro, Antonio ;
Girardi, Stefano .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2009, 64 (06) :522-528