Imaging spectroscopy for scene analysis: challenges and opportunities

Robles-Kelly, Antonio and Simpson-Young, Bill 2013, Imaging spectroscopy for scene analysis: challenges and opportunities, IET computer vision, vol. 7, no. 6, pp. 467-477, doi: 10.1049/iet-cvi.2010.0205.

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Title Imaging spectroscopy for scene analysis: challenges and opportunities
Author(s) Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Simpson-Young, Bill
Journal name IET computer vision
Volume number 7
Issue number 6
Start page 467
End page 477
Total pages 11
Publisher The Institution of Engineering and Technology
Place of publication Stevenage, Eng.
Publication date 2013-12
ISSN 1751-9632
Keyword(s) Spectroscopy
Image colour analysis
Natural scenes
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
imaging spectroscopy
object composition
primordial component concentrations
spatial information
compositional information
spectroscopic scene analysis
object tracking
material properties
computational photography
food security
precision agriculture
computer vision
pattern recognition
plant health
Language eng
DOI 10.1049/iet-cvi.2010.0205
Field of Research 0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
1702 Cognitive Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2013, The Institution of Engineering and Technology
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118563

Document type: Journal Article
Collection: School of Information Technology
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