TA.L302.4
BAYESIAN HYBRID LOSS FOR HYPERSPECTRAL SISR USING 3D WIDE RESIDUAL CNN
Nour Aburaed, University of Strathclyde, United Kingdom of Great Britain and Northern Ireland; Mohammed Q. Alkhatib, University of Dubai, United Arab Emirates; Stephen Marshall, Jaime Zabalza, University of Strathclyde, United Kingdom of Great Britain and Northern Ireland; Hussain Al Ahmad, University of Dubai, United Kingdom of Great Britain and Northern Ireland
Session:
TA.L302: Hyperspectral Imaging Lecture
Track:
Computational Imaging Systems
Location:
Room 302
Presentation Time:
Tue, 10 Oct, 11:54 - 12:12 Malaysia Time (UTC +8)
Session Chair:
Bihan Wen, Nanyang Technological University
Session TA.L302
TA.L302.1: AUTONOMOUS POLYCRYSTALLINE MATERIAL DECOMPOSITION FOR HYPERSPECTRAL NEUTRON TOMOGRAPHY
Mohammad Samin Nur Chowdhury, Diyu Yang, Purdue University, United States of America; Shimin Tang, Singanallur Venkatakrishnan, Hassina Bilheux, Oak Ridge National Laboratory, United States of America; Gregery Buzzard, Charles Bouman, Purdue University, United States of America
TA.L302.2: ZERO-SHOT HYPERSPECTRAL IMAGE DENOISING WITH SELF-COMPLETION WITH PATTERNED MASKS
Tatsuki Itasaka, Masahiro Okuda, Doshisha University, Japan
TA.L302.3: Learning Extended Depth of Field Hyperspectral Imaging
Erdem Sahin, Ugur Akpinar, Ayoung Kim, Atanas Gotchev, Tampere University, Finland
TA.L302.4: BAYESIAN HYBRID LOSS FOR HYPERSPECTRAL SISR USING 3D WIDE RESIDUAL CNN
Nour Aburaed, University of Strathclyde, United Kingdom of Great Britain and Northern Ireland; Mohammed Q. Alkhatib, University of Dubai, United Arab Emirates; Stephen Marshall, Jaime Zabalza, University of Strathclyde, United Kingdom of Great Britain and Northern Ireland; Hussain Al Ahmad, University of Dubai, United Kingdom of Great Britain and Northern Ireland
TA.L302.5: SPECTRAL GROUPING DRIVEN HYPERSPECTRAL SUPER-RESOLUTION
Sadia Hussain, Brejesh Lall, Indian Institute of Technology Delhi, India
Contacts