WEP2.PA.1
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat
Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu, Chia-Ming Lee, Guan-Lin Chen, National Cheng Kung University, Taiwan
Session:
WEP2.PA: Hyperspectral Imaging: Classification, Anomaly Detection, and Machine Learning Driven Analysis Poster
Track:
AI and Big Data
Location:
Poster Area
Presentation Time:
Wednesday, 6 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session WEP2.PA
WEP2.PA.1: Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat
Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu, Chia-Ming Lee, Guan-Lin Chen, National Cheng Kung University, Taiwan
WEP2.PA.2: Efficient Hyperspectral Band Selection and Classification based on Actor-Critic Policy
María Beatriz García Flores, Carlos Cañada, Alberto Quesada, Mercedes E. Paoletti, University of Extremadura, Spain; Hengyi Zheng, Hohai University, China; Zhaoyue Wu, University of Extremadura, Spain; Hongjun Su, Hohai University, China; Juan M. Haut, University of Extremadura, Spain
WEP2.PA.3: QUANTUM-INSPIRED VIRTUAL PRISM FOR MULTISPECTRAL UNMIXING
Chia-Hsiang Lin, Si-Sheng Young, National Cheng Kung University, Taiwan
WEP2.PA.4: Few-Shot Class Incremental Learning with Precognition and Retrospection for Mars Hyperspectral Image Classification
Yun Zhang, Xidian University, China; Bobo Xi, Xunfeng Zhao, Jiaojiao Li, Xidian University, National Space Science Center, China; Yunsong Li, Xidian University, China; Jocelyn Chanussot, Université Grenoble Alpes, France
WEP2.PA.5: HYPERFORENSICS++: TOWARD ADVERSARIAL PERTURBED AND OBJECT REPLACEMENT IN HYPERSPECTRAL IMAGING DATASET
Chih-Chung Hsu, National Yang Ming Chiao Tung University, Taiwan; Chia-Ming Lee, Min-Tzo Ko, En-Chao Liu, National Cheng Kung University, Taiwan; Yi-Ching Cheng, National Yang Ming Chiao Tung University, Taiwan; Ming-Ching Chang, University at Albany, State University at New York, United States
WEP2.PA.6: Spectral-Spatial Low Rank Representation with Non-Convex Regularization for Hyperspectral Anomaly Detection
Chuang Li, Hangzhou Institue of Techenology, Xidian University, China; Yinghui Quan, Department of remote sensing science and technology, School of Electronic Engineering, Xidian University, China
WEP2.PA.7: A SELF-SUPERVISED DEEP LEARNING FRAMEWORK FOR LARGE-SCALE WETLAND MAPPING
Mohammad Marjani, Masoud Mahdianpari, Eric W. Gill, Memorial University of Newfoundland, Canada; Fariba Mohammadimanesh, Natural Resources Canada, Canada
WEP2.PA.8: SELF-SUPERVISED LEARNING WITH ENMAP HYPERSPECTRAL IMAGERY FOR MINERAL MAPPING
Nassim Ait Ali Braham, Aaron Banze, Conrad Albrecht, German Aerospace Center (DLR), Germany
WEP2.PA.9: IMPROVING CLOUD MASKING OF SENTINEL-2 IMAGERY WITH DEEP LEARNING AND AUTOMATED LABELLING
Alexander Amies, Ben Jolly, Stella Belliss, Manaaki Whenua – Landcare Research, New Zealand
WEP2.PA.10: DEEP LEARNING ENSEMBLES FOR HYPERSPECTRAL ANOMALY DETECTION
Przemyslaw Struminski, Silesian University of Technology, Poland; Agata M. Wijata, Jakub Nalepa, KP Labs / Silesian University of Technology, Poland
WEP2.PA.11: SPATIAL AWARE COLLABORATIVE REPRESENTATION FOR CLASSIFYING ROADS, BUILDINGS, AND CONSTRUCTION MATERIALS IN HYPERSPECTRAL IMAGES
Rekha Shah, Pokhara University, Nepal; Chiranjibi Shah, Suraj A Yadav, Mississippi State University, United States; M M Nabi, Western Kentucky University, United States; Niamat Hossain, Arkansas State University, United States
WEP2.PA.12: MULTI-MODAL DISTRIBUTION GLOBAL PERCEPTION FOR OPEN-SET HYPERSPECTRAL IMAGE CLASSIFICATION
Fengcheng Ji, Wenzhi Zhao, Beijing Normal University, China
Resources
No resources available.