PUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS) – GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENT

Handle URI:
http://hdl.handle.net/10754/625872
Title:
PUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS) – GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENT
Authors:
Turner, D.; Lucieer, A.; McCabe, Matthew ( 0000-0002-1279-5272 ) ; Parkes, Stephen; Clarke, I.
Abstract:
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 micro-Hyperspec 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.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division; Environmental Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC)
Citation:
Turner D, Lucieer A, McCabe M, Parkes S, Clarke I (2017) PUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS) – GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENT. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6: 379–384. Available: http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-379-2017.
Publisher:
Copernicus GmbH
Journal:
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Conference/Event name:
4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, UAV-g 2017
Issue Date:
31-Aug-2017
DOI:
10.5194/isprs-archives-xlii-2-w6-379-2017
Type:
Article
ISSN:
2194-9034
Additional Links:
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/379/2017/
Appears in Collections:
Articles; Environmental Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC); Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorTurner, D.en
dc.contributor.authorLucieer, A.en
dc.contributor.authorMcCabe, Matthewen
dc.contributor.authorParkes, Stephenen
dc.contributor.authorClarke, I.en
dc.date.accessioned2017-10-17T08:48:35Z-
dc.date.available2017-10-17T08:48:35Z-
dc.date.issued2017-08-31en
dc.identifier.citationTurner D, Lucieer A, McCabe M, Parkes S, Clarke I (2017) PUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS) – GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENT. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6: 379–384. Available: http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-379-2017.en
dc.identifier.issn2194-9034en
dc.identifier.doi10.5194/isprs-archives-xlii-2-w6-379-2017en
dc.identifier.urihttp://hdl.handle.net/10754/625872-
dc.description.abstractIn 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 micro-Hyperspec 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.en
dc.publisherCopernicus GmbHen
dc.relation.urlhttps://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/379/2017/en
dc.rightsThis work is distributed under the Creative Commons Attribution 4.0 License.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectGeometric accuracyen
dc.subjectHyperspectralen
dc.subjectPARGEen
dc.subjectPush broomen
dc.subjectUASen
dc.titlePUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS) – GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENTen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)en
dc.identifier.journalISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciencesen
dc.conference.date2017-09-04 to 2017-09-07en
dc.conference.name4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, UAV-g 2017en
dc.conference.locationBonn, DEUen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionUniversity of Tasmania, School of Land and Food, Hobart, TAS, , Australiaen
kaust.authorMcCabe, Matthewen
kaust.authorParkes, Stephenen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.