Systematic infrared image quality improvement using deep learning based techniques

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 10008, Issue , 2016, Pages

  Zhang, Huaizhong ^a   Casaseca De La Higuera, Pablo ^a   Luo, Chunbo ^b   Wang, Qi ^a   Kitchin, Matthew ^c   Parmley, Andrew ^c   Monge Alvarez, Jesus ^a  

^a UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

^b UNIVERSITY OF EXETER   (United Kingdom)

^c Thales Optics Ltd   (United Kingdom)

Author keywords

ADT R; IRT; super resolution; Super Resolution Convolutional Neural Network (SRCNN)

Indexed keywords

CAMERAS; INFRARED DEVICES; INFRARED IMAGING; MILITARY APPLICATIONS; NEURAL NETWORKS; OPTICAL RESOLVING POWER; REMOTE SENSING; URBAN PLANNING;

ADT/R; AUTOMATIC TARGET DETECTION; CONVOLUTIONAL NEURAL NETWORK; ELECTROMAGNETIC SPECTRA; IMAGE QUALITY IMPROVEMENTS; LONG-WAVELENGTH INFRARED RANGES; SUPER RESOLUTION; THERMOGRAPHIC CAMERAS;

OBJECT RECOGNITION;

EID: 85010888144     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2242036     Document Type: Conference Paper

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