16 - 21 July, 2023
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Summer School
International Geoscience and Remote Sensing Symposium
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Technical Program
Session MO2.R2
Paper MO2.R2.3
MO2.R2.3
CLUSTERING FRACTURE DATA IN 3D OUTCROP MODELS WITH HIERARCHICAL AGGLOMERATIVE CLUSTERING AND FISHER STATISTICS
Graciela Racolte, Ademir Marques Jr, Vinicius Sales, Daniel Zanotta, Unisinos University, Brazil; Delano Ibanez, PETROBRAS, Brazil; Mauricio Veronez, Luiz Gonzaga Jr, Unisinos University, Brazil
Session:
MO2.R2: Supervised, Semi-Supervised, and Unsupervised Learning and Scene Classification
Oral
Track:
Data Analysis
Location:
Room C
Presentation Time:
Mon, 17 Jul, 16:09 - 16:21 Pacific Time (UTC -8)
Session Co-Chairs:
Claudia Paris, University of Twente and Begüm Demir, Technische Universität Berlin
Session Manager:
Shankho Subhra Pal
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Session MO2.R2
MO2.R2.1: GAGAT: GLOBAL AWARE GRAPH ATTENTION NETWORK FOR 3D CLASSIFICATION AND SEGMENTATION
Sumesh Thakur, Prachi Kudeshia, Saint Mary's university, Canada; Somaye Arabinaree, Concordia University, Canada; Dong Chen, Nanjing Forestry University, China; Jiju Peethambaran, Saint Mary's University, Canada
MO2.R2.2: ENHANCING TRAINING SET THROUGH MULTI-TEMPORAL ATTENTION ANALYSIS IN TRANSFORMERS FOR MULTI-YEAR LAND COVER MAPPING
Rocco Sedona, Jan Ebert, Forschungszentrum Jülich, Germany; Claudia Paris, University of Twente, Netherlands; Morris Riedel, University of Iceland, Iceland; Gabriele Cavallaro, Forschungszentrum Jülich, Germany
MO2.R2.3: CLUSTERING FRACTURE DATA IN 3D OUTCROP MODELS WITH HIERARCHICAL AGGLOMERATIVE CLUSTERING AND FISHER STATISTICS
Graciela Racolte, Ademir Marques Jr, Vinicius Sales, Daniel Zanotta, Unisinos University, Brazil; Delano Ibanez, PETROBRAS, Brazil; Mauricio Veronez, Luiz Gonzaga Jr, Unisinos University, Brazil
MO2.R2.4: A MULTI-SCALE DEEP FEATURE LEARNING AND SEMANTIC ENHANCEMENT APPROACH FOR REMOTE SENSING SCENE CLASSIFICATION
Hengyi Huang, Wenzhen Wang, Nanjing University of Science and Technology, China; Wenzhi Liao, Flanders Make and Ghent University, Belgium; Liang Xiao, Nanjing University of Science and Technology, China
MO2.R2.5: C-NOISYSTUDENT: CURRICULUM LEARNING WITH NOISY STUDENT IMPROVES REMOTE SENSING SCENE CLASSIFICATION
Xinglin Gao, Hao Wang, Sheng Chang, Yi Xiao, Shuxing Huang, Beijing Normal University, China; Haihua Xing, Hainan Normal University, China; Xianchuan Yu, Beijing Normal University, China
MO2.R2.6: FROM COARSE TO FINE: KNOWLEDGE DISTILLATION FOR REMOTE SENSING SCENE CLASSIFICATION
JINSHENG JI, Nanyang Technological University, China; XIAOMING XI, Shandong Jianzhu University, China; XIANKAI LU, Shandong University, China; YIYOU GUO, HUAN XIE, Tongji University, China
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