MO4.R2.3

INFORMED NMF-BASED UNMIXING METHOD ADDRESSING SPECTRAL VARIABILITY FOR MARINE MUCILAGE MAPPING USING HYPERSPECTRAL PRISMA DATA

Moussa Sofiane Karoui, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Alp Ertürk, Kocaeli University, Turkey; Fatima Zohra Benhalouche, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Yannick Deville, Université de Toulouse, France; Çağatay Esi, Kocaeli University, Turkey
Session:
MO4.R2: Hyperspectral Data Processing and Analysis: Spectral Unmixing Oral
Track:
Data Analysis
Location:
Mitropoulos
Presentation Time:
Mon, 8 Jul, 16:48 - 17:02
Session Co-Chairs:
Alp Ertürk, Kocaeli University and Ana Claudia Moreira Teodoro, Faculty of Sciences of the University of Porto
Presentation
Discussion
Resources
No resources available.
Session MO4.R2
MO4.R2.1: Endmember Distinguished Low-Rank and Sparse Representation for Hyperspectral Unmixing
Ruifeng Ren, Jin-Liang Xiao, Jie Huang, University of Electronic Science and Technology of China, China
MO4.R2.2: A COMPARATIVE STUDY OF ORDINARY AND BUNDLE UNMIXING APPROACHES PERFORMANCE UNDER THE INFLUENCE OF THE BRDF EFFECT
Yulia Vidro, Fadi Kizel, Technion Israel Institute of Technology, Israel
MO4.R2.3: INFORMED NMF-BASED UNMIXING METHOD ADDRESSING SPECTRAL VARIABILITY FOR MARINE MUCILAGE MAPPING USING HYPERSPECTRAL PRISMA DATA
Moussa Sofiane Karoui, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Alp Ertürk, Kocaeli University, Turkey; Fatima Zohra Benhalouche, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Yannick Deville, Université de Toulouse, France; Çağatay Esi, Kocaeli University, Turkey
MO4.R2.4: A NEW ADMM-BASED HYPERSPECTRAL UNMIXING ALGORITHM ASSOCIATED WITH A LINEAR MIXING MODEL ADDRESSING SPECTRAL VARIABILITY WITH A MULTIPLICATIVE STRUCTURE
Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Yannick Deville, Université de Toulouse, France
MO4.R2.5: SPACNN-LDVAE: SPATIAL ATTENTION CONVOLUTIONAL LATENT DIRICHLET VARIATIONAL AUTOENCODER FOR HYPERSPECTRAL PIXEL UNMIXING
Soham Chitnis, Birla Institute of Technology and Science Pilani, India; Kiran Mantripragada, Faisal Qureshi, Ontario Tech University, Canada
MO4.R2.6: NONLINEAR UNMIXING BASED MARINE MUCILAGE MONITORING
Çağatay Esi, Alp Ertürk, Kocaeli University, Turkey; Fatima Zehra Benhalouche, Moussa Sofiane Karoui, Agence Spatiale Algérienne, Algeria; Yannick Deville, IRAP, Université de Toulouse, UPS, CNRS, OMP, CNES, France
MO4.R2.7: ENDMEMBER EXTRACTION FOR LCT PEGMATITE DETECTION IN BRAZIL – A NEW APPROACH FOR GREENFIELD PROSPECTION USING HYPERSPECTRAL DATA
Douglas Santos, Areli Nogueira, Joana Cardoso-Fernandes, Alexandre Lima, Ana Claudia Moreira Teodoro, Faculty of Sciences of the University of Porto, Portugal
Resources
No resources available.