Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection

Li, Z; Zhao, G; Li, S; Sun, H; Tao, R; Huang, X; Guo, YJ

Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection

Li, Z Zhao, G Li, S Sun, H Tao, R Huang, X

Guo, YJ

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Publication Type:: Journal Article
Citation:: IEEE Geoscience and Remote Sensing Letters, 2016, 13 (10), pp. 1512 - 1516
Issue Date:: 2016-10-01

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Field	Value	Language
dc.contributor.author	Li, Z	en_US
dc.contributor.author	Zhao, G	en_US
dc.contributor.author	Li, S	en_US
dc.contributor.author	Sun, H	en_US
dc.contributor.author	Tao, R	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.issued	2016-10-01	en_US
dc.identifier.citation	IEEE Geoscience and Remote Sensing Letters, 2016, 13 (10), pp. 1512 - 1516	en_US
dc.identifier.issn	1545-598X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119420
dc.description.abstract	© 2016 IEEE. A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160101693
dc.relation.ispartof	IEEE Geoscience and Remote Sensing Letters	en_US
dc.relation.isbasedon	10.1109/LGRS.2016.2594299	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Geological & Geomatics Engineering	en_US
dc.title	Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	13	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0909 Geomatic Engineering	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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	13	en_US

Abstract:

© 2016 IEEE. A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.

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http://hdl.handle.net/10453/119420