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Author
Cristhian A. Aguilera
;
Angel D. Sappa
;
Ricardo Toledo
Title
Cross-Spectral Local Descriptors via Quadruplet Network
Type
Journal Article
Year
2017
Publication
In Sensors Journal
Abbreviated Journal
Volume
Vol. 17
Issue
Pages
pp. 873
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
64
Permanent link to this record
Author
Victor Santos
;
Angel D. Sappa
;
Miguel Oliveira
Title
Special Issue on Autonomous Driving an Driver Assistance Systems
Type
Journal Article
Year
2017
Publication
In Robotics and Autonomous Systems Journal
Abbreviated Journal
Volume
Vol. 91
Issue
Pages
pp. 208-209
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
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Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
65
Permanent link to this record
Author
Xavier Soria
;
Angel D. Sappa
;
Riad Hammoud
Title
Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018 ,2059.
Type
Journal Article
Year
2018
Publication
Abbreviated Journal
Volume
Vol. 18
Issue
Issue 7
Pages
Keywords
Abstract
Multi-spectral RGB-NIR sensors have become ubiquitous in recent years. These sensors allow the visible and near-infrared spectral bands of a given scene to be captured at the same time. With such cameras, the acquired imagery has a compromised RGB color representation due to near-infrared bands (700–1100 nm) cross-talking with the visible bands (400–700 nm). This paper proposes two deep learning-based architectures to recover the full RGB color images, thus removing the NIR information from the visible bands. The proposed approaches directly restore the high-resolution RGB image by means of convolutional neural networks. They are evaluated with several outdoor images; both architectures reach a similar performance when evaluated in different scenarios and using different similarity metrics. Both of them improve the state of the art approaches.
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Approved
no
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gtsi @ user @
Serial
96
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Author
Santos V.
;
Angel D. Sappa.
;
Oliveira M. & de la Escalera A.
Title
Special Issue on Autonomous Driving and Driver Assistance Systems
Type
Journal Article
Year
2019
Publication
In Robotics and Autonomous Systems
Abbreviated Journal
Volume
121
Issue
Pages
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
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ISSN
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Notes
Approved
no
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gtsi @ user @
Serial
119
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