A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration

In addition to precise 3D coordinates, most light detection and ranging (LIDAR) systems also record “intensity”, loosely defined as the strength of the backscattered echo for each measured point. To date, LIDAR intensity data have proven beneficial in a wide range of applications because they are re...

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Main Authors: Alireza G. Kashani, Michael J. Olsen, Christopher E. Parrish, Nicholas Wilson
Format: Article
Language:English
Published: MDPI AG 2015-11-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/11/28099
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author Alireza G. Kashani
Michael J. Olsen
Christopher E. Parrish
Nicholas Wilson
author_facet Alireza G. Kashani
Michael J. Olsen
Christopher E. Parrish
Nicholas Wilson
author_sort Alireza G. Kashani
collection DOAJ
description In addition to precise 3D coordinates, most light detection and ranging (LIDAR) systems also record “intensity”, loosely defined as the strength of the backscattered echo for each measured point. To date, LIDAR intensity data have proven beneficial in a wide range of applications because they are related to surface parameters, such as reflectance. While numerous procedures have been introduced in the scientific literature, and even commercial software, to enhance the utility of intensity data through a variety of “normalization”, “correction”, or “calibration” techniques, the current situation is complicated by a lack of standardization, as well as confusing, inconsistent use of terminology. In this paper, we first provide an overview of basic principles of LIDAR intensity measurements and applications utilizing intensity information from terrestrial, airborne topographic, and airborne bathymetric LIDAR. Next, we review effective parameters on intensity measurements, basic theory, and current intensity processing methods. We define terminology adopted from the most commonly-used conventions based on a review of current literature. Finally, we identify topics in need of further research. Ultimately, the presented information helps lay the foundation for future standards and specifications for LIDAR radiometric calibration.
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spelling doaj.art-3d21eea49bb1478abec84922cf9a8e572022-12-22T04:22:00ZengMDPI AGSensors1424-82202015-11-011511280992812810.3390/s151128099s151128099A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric CalibrationAlireza G. Kashani0Michael J. Olsen1Christopher E. Parrish2Nicholas Wilson3School of Civil and Construction Engineering, Oregon State University, 101 Kearney Hall, Corvallis, OR 97331, USASchool of Civil and Construction Engineering, Oregon State University, 101 Kearney Hall, Corvallis, OR 97331, USASchool of Civil and Construction Engineering, Oregon State University, 101 Kearney Hall, Corvallis, OR 97331, USASchool of Civil and Construction Engineering, Oregon State University, 101 Kearney Hall, Corvallis, OR 97331, USAIn addition to precise 3D coordinates, most light detection and ranging (LIDAR) systems also record “intensity”, loosely defined as the strength of the backscattered echo for each measured point. To date, LIDAR intensity data have proven beneficial in a wide range of applications because they are related to surface parameters, such as reflectance. While numerous procedures have been introduced in the scientific literature, and even commercial software, to enhance the utility of intensity data through a variety of “normalization”, “correction”, or “calibration” techniques, the current situation is complicated by a lack of standardization, as well as confusing, inconsistent use of terminology. In this paper, we first provide an overview of basic principles of LIDAR intensity measurements and applications utilizing intensity information from terrestrial, airborne topographic, and airborne bathymetric LIDAR. Next, we review effective parameters on intensity measurements, basic theory, and current intensity processing methods. We define terminology adopted from the most commonly-used conventions based on a review of current literature. Finally, we identify topics in need of further research. Ultimately, the presented information helps lay the foundation for future standards and specifications for LIDAR radiometric calibration.http://www.mdpi.com/1424-8220/15/11/28099LIDARlaser scanningintensitynormalizationcorrectioncalibrationradiometric
spellingShingle Alireza G. Kashani
Michael J. Olsen
Christopher E. Parrish
Nicholas Wilson
A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration
Sensors
LIDAR
laser scanning
intensity
normalization
correction
calibration
radiometric
title A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration
title_full A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration
title_fullStr A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration
title_full_unstemmed A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration
title_short A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration
title_sort review of lidar radiometric processing from ad hoc intensity correction to rigorous radiometric calibration
topic LIDAR
laser scanning
intensity
normalization
correction
calibration
radiometric
url http://www.mdpi.com/1424-8220/15/11/28099
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