17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

TH6.V7.8

NQ-PROTONET: NOISY QUERY PROTOTYPICAL NETWORK FOR FEW-SHOT REMOTE SENSING SCENE CLASSIFICATION

Weiquan Lin, Xu Tang, Jingjing Ma, Xiangrong Zhang, Licheng Jiao, Xidian University, China; Xiao Han, Geovis Spatial Technology Co.,Ltd, China
Session:
Classification and Clustering MMV III Multimedia Virtual
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Location:
Virtual Room 7
Presentation Time:
Thu, 21 Jul, 21:35 - 22:45 Malaysia Time (UTC +8)
Thu, 21 Jul, 15:35 - 16:45 Central European Time (UTC +1)
Thu, 21 Jul, 13:35 - 14:45 UTC
Thu, 21 Jul, 09:35 - 10:45 Eastern Time (UTC -5)
Session Co-Chairs:
Qin Yan, China University of Geosciences (Wuhan) and Xiaofeng Yang, Aerospace Information Research Institute (AIRCAS)
Session Manager:
Khe Kheng Kow
Presentation
Discussion
Resources
No resources available.
Session TH6.V7
TH6.V7.1: BALANCED RANDOM FOREST MODEL IS MORE SUITABLE FOR WILDFIRE RISK ASSESSMENT
Zili Wang, Binbin He, Xiaoying Lai, University of Electronic Science and Technology of China, China
TH6.V7.2: SELF-SUPERVISED FEATURE LEARNING AND FEW-SHOT LAND COVER CLASSIFICATION FOR CROSS-MODAL REMOTE SENSING IMAGES
Zhixiang Xue, Xuchu Yu, Pengqiang Zhang, Xiong Tan, Anzhu Yu, Bing Liu, PLA Strategic Support Force Information Engineering University, China
TH6.V7.3: ANALYSIS OF MACHINE LEARNING TECHNIQUES FOR CARBONATE OUTCROP IMAGE CLASSIFICATION IN LANDSAT 8 SATELLITE DATA
Vinicius Sales, Graciela Racolte, Ademir Marques Jr., Daniel Zanotta, Luiz Gonzaga Jr., Mauricio Veronez, Vale do Rio dos Sinos University, Brazil; Caroline Cazarin, Cenpes Petrobras, Brazil
TH6.V7.4: EVALUATION OF FIRE PRODUCTS USING SPATIO-TEMPORAL CLUSTERING METHOD
Miao Jiao, Zhenyu Kang, Xingwen Quan, University of Electronic Science and Technology, China
TH6.V7.5: USING DRONES AND DEEP NEURAL NETWORKS TO DETECT HALYOMORPHA HALYS IN ECOLOGICAL ORCHARDS
Loretta Ichim, Radu Ciciu, Dan Popescu, University POLITEHNICA of Bucharest, Romania
TH6.V7.6: DEEP ENSEMBLE LEARNING FOR LAND COVER CLASSIFICATION BASED ON HYPERSPECTRAL PRISMA IMAGE
Bahareh Kalantar, Naonori Ueda, RIKEN Center for Advanced Intelligence Project, Japan; Seyd Teymoor Seydi, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran; Vahideh Saeidi, Department of Mapping and Surveying, Darya Tarsim Consulting Engineers Co. Ltd.,, Japan; Alfian Abdul Halin, Department of Multimedia, Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Malaysia; Farzin Shabani, Flinders University, Australia
TH6.V7.7: SUPERPIXEL CORRECTION BASED LABEL PROPAGATION FOR HYPERSPECTRAL IMAGES CLASSIFICATION
Qin Yan, Xinwei Jiang, Yongshan Zhang, Zhihua Cai, China University of Geosciences (Wuhan), China
TH6.V7.8: NQ-PROTONET: NOISY QUERY PROTOTYPICAL NETWORK FOR FEW-SHOT REMOTE SENSING SCENE CLASSIFICATION
Weiquan Lin, Xu Tang, Jingjing Ma, Xiangrong Zhang, Licheng Jiao, Xidian University, China; Xiao Han, Geovis Spatial Technology Co.,Ltd, China
TH6.V7.9: CLASSIFYING HYPERSPECTRAL IMAGES WITH CAPSULE NETWORK AND ACTIVE LEARNING
Junrui Liu, Xuefeng Jiang, Wenbo Liu, Northwestern Polytechnical University, China
TH6.V7.10: A SPATIAL-CHANNEL ATTENTION-BASED CONVOLUTIONAL NEURAL NETWORK FOR REMOTE SENSING IMAGE CLASSIFICATION
Yuanzhen Shuai, QiAo Yuan, Shanshan Zhao, Xi’an Jiaotong-liverpool University, China