TH4.R2.1

SUBPIXEL TARGET DETECTION BASED ON MULTI-LAYER NEURAL NETWORKS

Edisanter Lo, Susquehanna University, United States
Session:
TH4.R2: Hyperspectral Target detection Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Thu, 20 Jul, 15:45 - 15:57 Pacific Time (UTC -8)
Session Co-Chairs:
Jocelyn Chanussot, Université Grenoble Alpes and Edisanter Lo, Susquehanna University
Session Manager:
HUMAIRA SANAM
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Session TH4.R2
TH4.R2.1: SUBPIXEL TARGET DETECTION BASED ON MULTI-LAYER NEURAL NETWORKS
Edisanter Lo, Susquehanna University, United States
TH4.R2.2: SEEING IS NOT BELIEVING: TOWARD FORGERY DETECTION FOR HYPERSPECTRAL IMAGE
Chih-Chung Hsu, Yu-An Jhang, Min-Zo Ke, National Cheng Kung University, Taiwan
TH4.R2.3: LRR-NET: A DEEP UNFOLDING NETWORK FOR HYPERSPECTRAL ANOMALY DETECTION
Chenyu Li, Southeast University, China; Danfeng Hong, Bing Zhang, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Jocelyn Chanussot, Université Grenoble Alpes, France
TH4.R2.4: ITERATIVE AUTOENCODER COUPLING WITH CONSTRAINED ENERGY MINIMIZATION FOR HYPERSPECTRAL TARGET DETECTION
Yidan Shi, Xiaorun Li, Shuhan Chen, Zhejiang University, China
TH4.R2.5: TOWARD ON-BOARD METHANE DETECTION IN HYPERSPECTRAL IMAGES
Agata Wijata, KP Labs / Silesian University of Technology, Poland; Michel-François Foulon, Yves Bobichon, Thales Alenia Space, France; Nicolas Longépé, Roberto Camarero, Raffaele Vitulli, Marco Celesti, Gianluigi Di Cosimo, Ferran Gascon, Jens Nieke, European Space Agency, Italy; Jakub Nalepa, KP Labs / Silesian University of Technology, Poland
Resources
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