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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR3.O-9.1

MODIFIED STRUCTURE-AWARE COLLABORATIVE REPRESENTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Chiranjibi Shah, Qian Du, Mississippi State University, United States
Session:
Information Extraction and Classification for Remote Sensing Images
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Fri, 16 Jul, 12:25-12:40 (UTC)
Fri, 16 Jul, 14:25-14:40 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 20:25-20:40 China Standard Time (UTC +8)
Fri, 16 Jul, 08:25-08:40 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Qian Du, Mississippi State University and Genc Hoxha, University of Trento
Session Manager:
Raj Kishore Parida
Presentation
Discussion
Resources
Session FR3.O-9
FR3.O-9.1: MODIFIED STRUCTURE-AWARE COLLABORATIVE REPRESENTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Chiranjibi Shah, Qian Du, Mississippi State University, United States
FR3.O-9.2: Integrated Gabor-based decision fusion for hyperspectral image classification
Runlin Cai, Chenying Liu, Jun Li, Sun Yat-Sen University, China
FR3.O-9.3: POLYGONAL PARTITION-BASED HYPERSPECTRAL IMAGE CLASSIFICATION WITH SINGLE LABELED SAMPLE
Shuo Zhang, Xiaohui Wei, Xudong Kang, Puhong Duan, Shutao Li, Hunan University, China
FR3.O-9.4: AN ACTIVE LEARNING STRATEGY FOR SVM-BASED CAPTIONING
Genc Hoxha, Farid Melgani, University of Trento, Italy
FR3.O-9.5: MULTI-LABEL HYPERSPECTRAL CLASSIFICATION WITH DISCRIMINATIVE FEATURES
Shuai Fang, Kun Zhang, YiBin Wang, Jing Zhang, Hefei University of Technology, China; Yang Cao, University of Science and Technology of China, China; WeiKai Shi, Macau University of Science and Technology, China
FR3.O-9.6: Fast Accurate Supervised Cloud Annotation
Christien Williams, Massachussetts Institute of Technology, United States; Tristan Dagobert, Université Paris-Saclay, France; Carlo de Franchis, Université Paris-Saclay & Kayrros, France; Jean-Michel Morel, Université Paris-Saclay, France; Charles Hessel, Université Paris-Saclay & Kayrros, France

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