MO2.R1.4

Cross-Domain Machine Learning Approaches using Hyperspectral Imaging for Plastics litter detection

Soufyane BOUCHELAGHEM, Imad Eddine TIBERMACINE, Marco BALSI, Monica MORONI, Christian NAPOLI, Sapienza University of Rome, Italy
Session:
MO2.R1: Image Processing Oral
Track:
Data Analysis Methods
Location:
Room 1
Presentation Time:
Mon, 15 Apr, 12:45 - 13:00 Algeria Time (UTC +1)
Mon, 15 Apr, 20:45 - 21:00 Japan Time (UTC +9)
Mon, 15 Apr, 11:45 - 12:00 UTC
Mon, 15 Apr, 07:45 - 08:00 New York Time (UTC -5)
Session Chair:
Youcef Bentoutou, Agence Spatiale Algérienne, Centre de Développement des Satellites
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Session MO2.R1
MO2.R1.1: THE ENHANCED RBF-BFOA NETWORK FOR REMOTE SENSING IMAGE CLASSIFICATION
Yasmina Teldja AMGHAR, Amel TEHAMI, Intelligent System Learning and Optimization Team, the Laboratory of Electrical Engineering and Material, ESGEEO, Algeria
MO2.R1.2: RANDOMIZED PRINCIPAL COMPONENT ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Mustafa Ustuner, Artvin Coruh University, Turkey
MO2.R1.3: A NOVEL RESIDUAL-CONCATENATE FEATURE FUSION STRATEGY FOR BUILDING SEGMENTATION FROM REMOTE SENSING IMAGES
Akshara Preethy Byju, Lakshmi Vijayan, Amrita Vishwa Vidyapeetham, India
MO2.R1.4: Cross-Domain Machine Learning Approaches using Hyperspectral Imaging for Plastics litter detection
Soufyane BOUCHELAGHEM, Imad Eddine TIBERMACINE, Marco BALSI, Monica MORONI, Christian NAPOLI, Sapienza University of Rome, Italy
Resources
No resources available.