International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR3.O-9: Information Extraction and Classification for Remote Sensing Images
Fri, 16 Jul, 12:25 - 13:55 (UTC)
Fri, 16 Jul, 14:25 - 15:55 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 20:25 - 21:55 China Standard Time (UTC +8)
Fri, 16 Jul, 08:25 - 09:55 Eastern Standard Time (UTC -4)
Session Chair: Qian Du, Mississippi State University
Session Manager: Raj Kishore Parida
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

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