Angle-dependent spectral reflectance material dataset based on 945 nm time-of-flight camera measurements

被引:5
作者
Ritter, David J. [1 ]
Rott, Relindis [1 ]
Schlager, Birgit [1 ]
Muckenhuber, Stefan [1 ,4 ]
Genser, Simon [1 ]
Kirchengast, Martin [2 ]
Hennecke, Marcus [3 ]
机构
[1] Virtual Vehicle Res GmbH, Inffeldgasse 21a, A-8010 Graz, Austria
[2] AVL List GmbH, Hans List Pl 1, A-8020 Graz, Austria
[3] Infineon Technol Austria AG, Babenbergerstr 10, A-8020 Graz, Austria
[4] Karl Franzens Univ Graz, Heinrichstr 36, A-8010 Graz, Austria
来源
DATA IN BRIEF | 2023年 / 48卷
关键词
Lidar; Reflectance; Spectral; NIR; Infrared; 945nm; Material data; Time-of-flight; Angle-dependent;
D O I
10.1016/j.dib.2023.109031
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The main objective of this article is to provide angle-dependent spectral reflectance measurements of various materials in the near infrared spectrum. In contrast to already existing reflectance libraries, e.g., NASA ECOSTRESS and Aster reflectance libraries, which consider only perpendicular reflectance measurements, the presented dataset includes an-gular resolution of the material reflectance. To conduct the angle-dependent spectral reflectance material measurements, a new measurement device based on a 945 nm time-of-flight camera is used, which was calibrated using Lambertian targets with defined reflectance values at 10, 50, and 95%. The spectral reflectance material measurements are taken for an angle range of 0 degrees to 80 degrees with 10 degrees incremental steps and stored in table format. The developed dataset is categorized with a novel material classification, divided into four different levels of detail considering material properties and distinguishing predominantly between mutually exclusive material classes (level 1) and material types (level 2). The dataset is published open access on the open repository Zenodo with record number 7467552 and version 1.0.1 [1] . Currently, the dataset contains 283 measurements and is continuously ex-tended in new versions on Zenodo. (c) 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/)
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页数:8
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