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Radiometric calibration of a dual-wavelength terrestrial laser scanner using neural networks.

Lookup NU author(s): Dr Rachel Gaulton, Dr Steven Hancock

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

The Salford Advanced Laser Canopy Analyser (SALCA) is a unique dual-wavelength full-waveform terrestrial laser scanner (TLS) designed to measure forest canopies. This article has two principle objectives, first to present the detailed analysis of the radiometric properties of the SALCA instrument, and second, to propose a novel method to calibrate the recorded intensity to apparent reflectance using a neural network approach. The results demonstrate the complexity of the radiometric response to range, reflectance, and laser temperature and show that neural networks can accurately estimate apparent reflectance for both wavelengths (a root mean square error (RMSE) of 0.072 and 0.069 for the 1063 and 1545 nm wavelengths, respectively). The trained network can then be used to calibrate full hemispherical scans in a forest environment, providing new opportunities for quantitative data analysis.


Publication metadata

Author(s): Schofield LA, Danson FM, Entwistle NS, Gaulton R, Hancock S

Publication type: Article

Publication status: Published

Journal: Remote Sensing Letters

Year: 2016

Volume: 7

Issue: 4

Pages: 299-308

Print publication date: 01/04/2016

Online publication date: 14/01/2016

Acceptance date: 12/12/2015

Date deposited: 15/01/2016

ISSN (print): 2150-704X

ISSN (electronic): 2150-7058

Publisher: Taylor and Francis

URL: http://dx.doi.org/10.1080/2150704X.2015.1134843

DOI: 10.1080/2150704X.2015.1134843


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