The use of random forest and object-based image classification for thematic map creation: A case study of Kelantan, Malaysia

Kalantar, B; Moneir, AAA; Mansor, SB; Pradhan, B

The use of random forest and object-based image classification for thematic map creation: A case study of Kelantan, Malaysia

Kalantar, B Moneir, AAA Mansor, SB Pradhan, B

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Publication Type:: Conference Proceeding
Citation:: 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, 2017, 2017-October
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Kalantar, B	en_US
dc.contributor.author	Moneir, AAA	en_US
dc.contributor.author	Mansor, SB	en_US
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017, 2017, 2017-October	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127030
dc.description.abstract	© 2017 ACRS. All rights reserved. This paper presented results of creation of thematic map for Kelantan city using an integration of object-based analysis and random forest algorithm. The thematic map was generated based on SPOT image with a spatial resolution of 5 m. Object-based analysis was used for its advantages over per-pixel based methods. On the other hand, random forest algorithm was selected because it was suggested in very recent literature and it has advantages ofgood generalization.A thematic map with sixclasses was generated with an overall accuracy and kappa index of 92% and 0.90, respectively using the proposed method. Other details are included in the paper.	en_US
dc.relation.ispartof	38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017	en_US
dc.title	The use of random forest and object-based image classification for thematic map creation: A case study of Kelantan, Malaysia	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-October	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
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/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2017-October	en_US

Abstract:

© 2017 ACRS. All rights reserved. This paper presented results of creation of thematic map for Kelantan city using an integration of object-based analysis and random forest algorithm. The thematic map was generated based on SPOT image with a spatial resolution of 5 m. Object-based analysis was used for its advantages over per-pixel based methods. On the other hand, random forest algorithm was selected because it was suggested in very recent literature and it has advantages ofgood generalization.A thematic map with sixclasses was generated with an overall accuracy and kappa index of 92% and 0.90, respectively using the proposed method. Other details are included in the paper.

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http://hdl.handle.net/10453/127030