Orthorectification of WorldView-3 Satellite Image Using Airborne Laser Scanning Data

Pradhan, B; Ahmed, AA; Chakraborty, S; Alamri, A; Lee, C-W

Orthorectification of WorldView-3 Satellite Image Using Airborne Laser Scanning Data

Pradhan, B

Ahmed, AA Chakraborty, S

Alamri, A Lee, C-W

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Publisher:: Hindawi Limited
Publication Type:: Journal Article
Citation:: Journal of Sensors, 2021, 2021, pp. 1-12
Issue Date:: 2021-10-16

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Field	Value	Language
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.contributor.author	Ahmed, AA
dc.contributor.author	Chakraborty, S https://orcid.org/0000-0002-0102-5424
dc.contributor.author	Alamri, A
dc.contributor.author	Lee, C-W
dc.date.accessioned	2021-10-18T11:33:37Z
dc.date.available	2021-10-18T11:33:37Z
dc.date.issued	2021-10-16
dc.identifier.citation	Journal of Sensors, 2021, 2021, pp. 1-12
dc.identifier.issn	1687-725X
dc.identifier.issn	1687-7268
dc.identifier.uri	http://hdl.handle.net/10453/151148
dc.description.abstract	<jats:p>Satellite images have been widely used to produce land use and land cover maps and to generate other thematic layers through image processing. However, images acquired by sensors onboard various satellite platforms are affected by a systematic sensor and platform-induced geometry errors, which introduce terrain distortions, especially when the sensor does not point directly at the nadir location of the sensor. To this extent, an automated processing chain of WorldView-3 image orthorectification is presented using rational polynomial coefficient (RPC) model and laser scanning data. The research is aimed at analyzing the effects of varying resolution of the digital surface model (DSM) derived from high-resolution laser scanning data, with a novel orthorectification model. The proposed method is validated on actual data in an urban environment with complex structures. This research suggests that a DSM of 0.31 m spatial resolution is optimum to achieve practical results (root-mean-square <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mtext>error</mtext> <mo>=</mo> <mn>0.69</mn> <mtext> </mtext> <mtext>m</mtext> </math> </jats:inline-formula>) and decreasing the spatial resolution to 20 m leads to poor results (root-mean-square <jats:inline-formula> <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mtext>error</mtext> <mo>=</mo> <mn>7.17</mn> </math> </jats:inline-formula>). Moreover, orthorectifying WorldView-3 images with freely available digital elevation models from Shuttle Radar Topography Mission (SRTM) (30 m) can result in an RMSE of 7.94 m without correcting the distortions in the building. This research can improve the understanding of appropriate image processing and improve the classification for feature extraction in urban areas.</jats:p>
dc.language	en
dc.publisher	Hindawi Limited
dc.relation.ispartof	Journal of Sensors
dc.relation.isbasedon	10.1155/2021/5273549
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0303 Macromolecular and Materials Chemistry, 0306 Physical Chemistry (incl. Structural)
dc.title	Orthorectification of WorldView-3 Satellite Image Using Airborne Laser Scanning Data
dc.type	Journal Article
utslib.citation.volume	2021
utslib.for	0303 Macromolecular and Materials Chemistry
utslib.for	0306 Physical Chemistry (incl. Structural)
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
dc.date.updated	2021-10-18T11:33:33Z
pubs.publication-status	Published
pubs.volume	2021

Abstract:

Satellite images have been widely used to produce land use and land cover maps and to generate other thematic layers through image processing. However, images acquired by sensors onboard various satellite platforms are affected by a systematic sensor and platform-induced geometry errors, which introduce terrain distortions, especially when the sensor does not point directly at the nadir location of the sensor. To this extent, an automated processing chain of WorldView-3 image orthorectification is presented using rational polynomial coefficient (RPC) model and laser scanning data. The research is aimed at analyzing the effects of varying resolution of the digital surface model (DSM) derived from high-resolution laser scanning data, with a novel orthorectification model. The proposed method is validated on actual data in an urban environment with complex structures. This research suggests that a DSM of 0.31 m spatial resolution is optimum to achieve practical results (root-mean-square

error = 0.69 m

) and decreasing the spatial resolution to 20 m leads to poor results (root-mean-square

error = 7.17

). Moreover, orthorectifying WorldView-3 images with freely available digital elevation models from Shuttle Radar Topography Mission (SRTM) (30 m) can result in an RMSE of 7.94 m without correcting the distortions in the building. This research can improve the understanding of appropriate image processing and improve the classification for feature extraction in urban areas.

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http://hdl.handle.net/10453/151148