Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification

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This article considers positional shift and rotation angle deviation of the laser scanner and the inertial measurement unit (IMU) and presents a new method for calculating the incident angle based on the rigorous geometric measurement model for airborne light detection and range (LiDAR).

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21 p.

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Wu, Qiong; Zhong, Ruofei; Dong, Pinliang; Mo, You & Jin, Yunxiang February 1, 2021.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Liberal Arts & Social Sciences to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 34 times. More information about this article can be viewed below.

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  • Wu, Qiong Capital Normal University; China Aero Geophysical Survey and Remote Sensing Center for Natural Resources
  • Zhong, Ruofei Capital Normal University
  • Dong, Pinliang University of North Texas
  • Mo, You Capital Normal University
  • Jin, Yunxiang Chinese Academy of Agricultural Sciences

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This article considers positional shift and rotation angle deviation of the laser scanner and the inertial measurement unit (IMU) and presents a new method for calculating the incident angle based on the rigorous geometric measurement model for airborne light detection and range (LiDAR).

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21 p.

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Abstract: Light detection and range (LiDAR) intensity is an important feature describing the characteristics of a target. The direct use of original intensity values has limitations for users, because the same objects may have different spectra, while different objects may have similar spectra in the overlapping regions of airborne LiDAR intensity data. The incidence angle and range constitute the geometric configuration of the airborne measurement system, which has an important influence on the LiDAR intensity. Considering positional shift and rotation angle deviation of the laser scanner and the inertial measurement unit (IMU), a new method for calculating the incident angle is presented based on the rigorous geometric measurement model for airborne LiDAR. The improved approach was applied to experimental intensity data of two forms from a RIEGL laser scanner system mounted on a manned aerial platform. The results showed that the variation coefficient of the intensity values after correction in homogeneous regions is lower than that obtained before correction. The overall classification accuracy of the corrected intensity data of the first form (amplitude) is significantly improved by 30.01%, and the overall classification accuracy of the corrected intensity data of second form (reflectance) increased by 18.21%. The results suggest that the correction method is applicable to other airborne LiDAR systems. Corrected intensity values can be better used for classification, especially in more refined target recognition scenarios, such as road mark extraction and forest monitoring. This study provides useful guidance for the development of future LiDAR data processing systems.

This article belongs to the Special Issue Advances of Remote Sensing in Environmental Geoscience.

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  • Remote Sensing, 13(3), Multidisciplinary Digital Publishing Institute, February 1 2021, pp. 1-21

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  • Publication Title: Remote Sensing
  • Volume: 13
  • Issue: 3
  • Article Identifier: 511
  • Peer Reviewed: Yes

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  • February 1, 2021

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  • Oct. 21, 2021, 11:13 a.m.

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  • Nov. 8, 2021, 9:23 a.m.

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Wu, Qiong; Zhong, Ruofei; Dong, Pinliang; Mo, You & Jin, Yunxiang. Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification, article, February 1, 2021; (https://digital.library.unt.edu/ark:/67531/metadc1852165/: accessed September 11, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Liberal Arts & Social Sciences.

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