University Of Tasmania
124566 - Pushboom hyperspectral imaging from an unmanned aircraft system.pdf (884.08 kB)
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Pushbroom hyperspectral imaging from an unmanned aircraft system (UAS) - geometric processing workflow and accuracy assessment

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conference contribution
posted on 2023-05-23, 13:14 authored by Darren TurnerDarren Turner, Arko LucieerArko Lucieer, McCabe, M, Parkes, S, Clarke, I
In this study, we assess two push broom hyperspectral sensors as carried by small (10 – 15 kg) multi-rotor Unmanned Aircraft Systems (UAS). We used a Headwall Photonics micro-Hyperspec push broom sensor with 324 spectral bands (4 – 5 nm FWHM) and a Headwall Photonics nano-Hyperspec sensor with 270 spectral bands (6 nm FWHM) both in the VNIR spectral range (400 – 1000 nm). A gimbal was used to stabilise the sensors in relation to the aircraft flight dynamics, and for the microHyperspec a tightly coupled dual frequency Global Navigation Satellite System (GNSS) receiver, an Inertial Measurement Unit (IMU), and Machine Vision Camera (MVC) were used for attitude and position determination. For the nano-Hyperspec, a navigation grade GNSS system and IMU provided position and attitude data. This study presents the geometric results of one flight over a grass oval on which a dense Ground Control Point (GCP) network was deployed. The aim being to ascertain the geometric accuracy achievable with the system. Using the PARGE software package (ReSe – Remote Sensing Applications) we ortho-rectify the push broom hyperspectral image strips and then quantify the accuracy of the ortho-rectification by using the GCPs as check points. The orientation (roll, pitch, and yaw) of the sensor is measured by the IMU. Alternatively imagery from a MVC running at 15 Hz, with accurate camera position data can be processed with Structure from Motion (SfM) software to obtain an estimated camera orientation. In this study, we look at which of these data sources will yield a flight strip with the highest geometric accuracy.


king Abdullah University of Science and technology


Publication title

International Archives of the Photogrammetry, Remote Sensing and Spatial information Sciences








School of Geography, Planning and Spatial Sciences


Copernicus GmbH

Place of publication


Event title

International Conference on Unmanned Aerial Vehicles in Geomatics

Event Venue

Bonn, Germany

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2017 the Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

Repository Status

  • Open

Socio-economic Objectives

Assessment and management of Antarctic and Southern Ocean ecosystems

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