THP2.PH.4
2D-CNN FOR HYPERSPECTRAL UNMIXING: A FRAMEWORK FOR SPATIO-SPECTRAL SYNERGY
Rutwik S Nainoor, Shreya S Kamalapurkar, Acharya Institute of Technology, India; Ajay Kumar K, M. S. Ramaiah University of Applied Sciences, India; Vijayashekhar S S, Acharya Institute of Technology, India; Jignesh S. Bhatt, Indian Institute of Information Technology Vadodara, India
Session:
THP2.PH: Hyperspectral Unmixing II Poster
Track:
Data Analysis
Location:
Poster Area
Presentation Time:
Thursday, 7 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session THP2.PH
THP2.PH.1: Refined Tokens Vision Transformer Network for Hyperspectral Image Unmixing
Sheng Shu, Ting-Zhu Huang, Jie Huang, University of Electronic Science and Technology of China, China; Gemine Vivone, National Research Council, Italy
THP2.PH.2: A TWO-STEP LINEAR MIXING MODEL FOR UNMIXING UNDER HYPERSPECTRAL VARIABILITY
Xander Haijen, Bikram Koirala, Xuanwen Tao, Paul Scheunders, University of Antwerp, Belgium
THP2.PH.3: JOINT NORM SPARSITY AND LOW-RANK NONNEGATIVE TENSOR FACTORIZATION FOR HYPERSPECTRAL UNMIXING
Meiping Song, Wenchao Liang, Information and Technology College,Dalian Maritime University, China; Hui Li, Zhengzhou Tobacco Research Institute of CNTC, China; Tingting Yang, Information and Technology College,Dalian Maritime University, China; Haimo Bao, School of Innovation Design, Guangzhou Academy of Fine Arts, China
THP2.PH.4: 2D-CNN FOR HYPERSPECTRAL UNMIXING: A FRAMEWORK FOR SPATIO-SPECTRAL SYNERGY
Rutwik S Nainoor, Shreya S Kamalapurkar, Acharya Institute of Technology, India; Ajay Kumar K, M. S. Ramaiah University of Applied Sciences, India; Vijayashekhar S S, Acharya Institute of Technology, India; Jignesh S. Bhatt, Indian Institute of Information Technology Vadodara, India
THP2.PH.5: Hyperspectral BiorNet - A complete Wavelet Framework For Unmixing
Gagana M D, Acharya Institute of Technology, India; Ajay Kumar K, M. S. Ramaiah University of Applied Sciences, India; Vijayashekhar S S, Acharya Institute of Technology, India; Jignesh S. Bhatt, Indian Institute of Information Technology Vadodara, India
THP2.PH.6: DIFFERENTIAL SPECTRAL GUIDED DEEP HYPERSPECTRAL UNMIXING NETWORK
Hangqi Peng, Kaijun Yang, Ruyi Feng, Lizhe Wang, China University of Geosciences, China
THP2.PH.7: UNSUPERVISED NONLINEAR HYPERSPECTRAL UNMIXING USING KERNEL-BASED AUTOENCODER NETWORK
Chonghui Wan, Linwei Li, Bin Wang, Bo Hu, Fudan University, China
THP2.PH.8: Toward Robust Hyperspectral Unmixing: Mixed Noise Modeling and Image-Domain Regularization TOWARD ROBUST HYPERSPECTRAL UNMIXING: MIXED NOISE MODELING AND IMAGE-DOMAIN REGULARIZATION
Kazuki Naganuma, Shunsuke Ono, Tokyo Institute of Technology, Japan
THP2.PH.9: HYPERSPECTRAL UNMIXING USING ℓ2,1 NORM-BASED ROBUST DEEP NONNEGATIVE MATRIX FACTORIZATION
Risheng Huang, Shaoxing University, China
THP2.PH.10: A HYPERSPECTRAL UNMIXING MODEL FOR LOCAL DISTANCE-WEIGHTED VARIATION
Meiping Song, Yuxiao Zhang, College of Information Science and Technology, Dalian Maritime University, China; Hui Li, Zhengzhou Tobacco Research Institute of CNTC, China
THP2.PH.11: IMPROVED HYPERSPECTRAL UNMIXING ALGORITHM INVOLVING THE MULTIPLICATIVE NMF CONCEPT FOR ADDITIVE MIXING MODEL DEALING WITH SPECTRAL VARIABILITY
Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Yannick Deville, IRAP, Université de Toulouse, UPS, CNRS, OMP, CNES, France; Alejandra Inga Quezada, Leonardo Tomazeli Duarte, University of Campinas, Brazil
THP2.PH.12: A NOVEL HYPERSPECTRAL UNMIXING APPROACH JOINTLY ADDRESSING NONLINEARITY AND SPECTRAL VARIABILITY IN URBAN ENVIRONMENTS
Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Yannick Deville, IRAP, Université de Toulouse, UPS, CNRS, OMP, CNES, France
Resources
No resources available.