Radiometric Calibration of LIDAR Intensity With Commercially Available Reference Targets

被引:108
作者
Kaasalainen, Sanna [1 ]
Hyyppa, Hannu [1 ,2 ]
Kukko, Antero [1 ]
Litkey, Paula [1 ]
Ahokas, Eero [1 ]
Hyyppa, Juha
Lehner, Hubert [3 ]
Jaakkola, Anttoni [1 ]
Suomalainen, Juha [1 ]
Akujarvi, Altti [4 ]
Kaasalainen, Mikko [5 ]
Pyysalo, Ulla
机构
[1] Finnish Geodet Inst, Dept Remote Sensing & Photogrammetry, Masala 02431, Finland
[2] Aalto Univ, Res Inst Measuring & Modelling Built Environm, Dept Surveying, FIN-02150 Espoo, Finland
[3] Vienna Univ Technol, Inst Photogrammetry & Remote Sensing, A-1040 Vienna, Austria
[4] Univ Helsinki, Dept Phys, FIN-00014 Helsinki, Finland
[5] Univ Helsinki, Dept Math & Stat, FIN-00014 Helsinki, Finland
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2009年 / 47卷 / 02期
基金
芬兰科学院;
关键词
Calibration; laser measurements; laser radar; laser radiation effects; remote sensing; TREE DETECTION; AIRBORNE; BACKSCATTERING; CLASSIFICATION; SCATTERING; ANGLE;
D O I
10.1109/TGRS.2008.2003351
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
We present a new approach for radiometric calibration of light detection and ranging (LIDAR) intensity data and demonstrate an application of this method to natural targets. The method is based on 1) using commercially available sand and gravel as reference targets and 2) the calibration of these reference targets in the laboratory conditions to know their backscatter properties. We have investigated the target properties crucial for accurate and consistent reflectance calibration and present a set of ideal targets easily available for calibration purposes. The first results from LIDAR-based brightness measurement of grass and sand show that the gravel-based calibration approach works in practice, is cost effective, and produces statistically meaningful results: Comparison of results from two separate airborne laser scanning campaigns shows that the relative calibration produces repeatable reflectance values.
引用
收藏
页码:588 / 598
页数:11
相关论文
共 29 条
[1]   Airborne laser scanning - present status and future expectations [J].
Ackermann, F .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 1999, 54 (2-3) :64-67
[2]  
AHOKAS E, 2006, P ISPRS COMM 1 S INT, P36
[3]   Evaluating the potential of high-resolution airborne LiDAR data in glaciology [J].
Arnold, NS ;
Rees, WG ;
Devereux, BJ ;
Amable, GS .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (5-6) :1233-1251
[4]   Polarimetric optical imaging of scattering surfaces [J].
Barter, JD ;
Lee, PHY .
APPLIED OPTICS, 1996, 35 (30) :6015-6027
[5]   Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis [J].
Bork, Edward W. ;
Su, Jason G. .
REMOTE SENSING OF ENVIRONMENT, 2007, 111 (01) :11-24
[6]  
BOYD DS, 2007, P ISPRS WORKSH LAS 3, V36, P71
[7]   High-resolution measurements of scattering in wheat canopies - Implications for crop parameter retrieval [J].
Brown, SCM ;
Quegan, S ;
Morrison, K ;
Bennett, JC ;
Cookmartin, G .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (07) :1602-1610
[8]   Radiometric correction in laser scanning [J].
Coren, Franco ;
Sterzai, Paolo .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (15) :3097-3104
[9]   Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas [J].
Dalponte, Michele ;
Bruzzone, Lorenzo ;
Gianelle, Damiano .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (05) :1416-1427
[10]   Forest canopy gap fraction from terrestrial laser scanning [J].
Danson, F. Mark ;
Hetherington, David ;
Morsdorf, Felix ;
Koetz, Benjamin ;
Allgoewer, Britta .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2007, 4 (01) :157-160