A method to enhance the deep learning in an aerial image

Chou, KP; Li, DL; Prasad, M; Lin, CT; Lin, WC

A method to enhance the deep learning in an aerial image

Chou, KP Li, DL Prasad, M

Lin, CT

Lin, WC

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Publication Type:: Conference Proceeding
Citation:: 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings, 2017, 2018-January pp. 724 - 728
Issue Date:: 2017-07-02

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Field	Value	Language
dc.contributor.author	Chou, KP	en_US
dc.contributor.author	Li, DL	en_US
dc.contributor.author	Prasad, M https://orcid.org/0000-0001-9719-2253	en_US
dc.contributor.author	Lin, CT https://orcid.org/0000-0001-8371-8197	en_US
dc.contributor.author	Lin, WC	en_US
dc.date.available	2020-05-25T19:16:12Z
dc.date.issued	2017-07-02	en_US
dc.identifier.citation	2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings, 2017, 2018-January pp. 724 - 728	en_US
dc.identifier.isbn	9781538621592	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127369
dc.description.abstract	© 2017 IEEE. In this paper, we propose a kind of pre-processing method which can be applied to the depth learning method for the characteristics of aerial image. This method combines the color and spatial information to do the quick background filtering. In addition to increase execution speed, but also to reduce the rate of false positives.	en_US
dc.relation.ispartof	2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ISPACS.2017.8266571	en_US
dc.title	A method to enhance the deep learning in an aerial image	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 IEEE. In this paper, we propose a kind of pre-processing method which can be applied to the depth learning method for the characteristics of aerial image. This method combines the color and spatial information to do the quick background filtering. In addition to increase execution speed, but also to reduce the rate of false positives.

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http://hdl.handle.net/10453/127369