16 - 21 July, 2023
General
Photos
Welcome Message
Organizing Committee
Contacts
Privacy and Non-Discrimination
Event Conduct and Safety
JSTARS Call for Papers
Program
Plenary Session
Plenary Speakers
Technical Program
Paper Search
Tutorials
Three Minute Thesis
Student Paper Competition
Social Program
For Young Professionals
TIE Events
Technical Tour
Registration
IGARSS 2023 Registration
On-Site Registration Desk
Invitation Letter Request
For Authors
Important Dates
Themes
Paper Submission
Author Invitation Letter
GRSS Travel Support
Sponsorship & Exhibition
Sponsor & Exhibit Registration
Current Sponsors
Current Exhibitors
Destination
Venue
Maps
VISA
Family Resources
Summer School
International Geoscience and Remote Sensing Symposium
Theme Tag Line
IGARSS 2023 Attendee Access
Technical Program
Session TUP.P16
Paper TUP.P16.4
TUP.P16.4
RETRIEVAL OF PM2.5 IN XI'AN WITH MACHINE LEARNING AND SUPER RESOLUTION ALGORITHM IN 2015-2021
Mengxuan Chen, Juepeng Zheng, Haohuan Fu, Tsinghua University, China
Session:
TUP.P16: Machine Learning for Clouds, Dust, and Hazards
Poster
Track:
AI and Big Data
Location:
Poster Area 16
Presentation Time:
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Valentine Bellet, Centre d'Etudes Spatiales de la Biosphère (CESBIO, Université de Toulouse, CNES/CNRS/INRAe/IRD/UPS) - ANITI
Session Managers:
Ge Jiang and Lanying Wang and Ayoti Banerjee and Shubham Awasthi
Presentation
Not logged in.
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Session TUP.P16
TUP.P16.1: BILSTM−BIGRU: A FUSION DEEP NEURAL NETWORK FOR PREDICTING AIR POLLUTANT CONCENTRATION
Prasanjit Dey, Technological University Dublin, Ireland; Soumyabrata Dev, University College Dublin, Ireland; Bianca Schoen Phelan, Technological University Dublin, Ireland
TUP.P16.2: DETECTING CLOUD PRESENCE IN SATELLITE IMAGES USING THE RGB-BASED CLIP VISION-LANGUAGE MODEL
Mikolaj Czerkawski, Robert Atkinson, Christos Tachtatzis, University of Strathclyde, United Kingdom
TUP.P16.3: MACHINE LEARNING-BASED APPROACH FOR LANDSLIDE SUSCEPTIBILITY MAPPING USING MULTIMODAL DATA
Xianping Ma, Man-On Pun, School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China, China; Ming Liu, MizarVision, Shanghai, China, China; Yang Wang, Xi'an Leitong Technology Co. Ltd, Xi'an, China, China
TUP.P16.4: RETRIEVAL OF PM2.5 IN XI'AN WITH MACHINE LEARNING AND SUPER RESOLUTION ALGORITHM IN 2015-2021
Mengxuan Chen, Juepeng Zheng, Haohuan Fu, Tsinghua University, China
TUP.P16.5: A REMOTE SENSING IMAGE DEHAZING NETWORK BASED ON DARK CHANNEL ATTENTION MECHANISM
Zongbao Liang, Jindong Xu, Fei Jia, Yijie Wang, Jie Wang, Yantai University, China; ,
TUP.P16.6: SATELLITE IMAGE AUGMENTATION VIA SEAMLESS INSTANCE BLENDING FOR BUILDING DAMAGE SEGMENTATION
Sebastian Gapp, Nina Merkle, Corentin Henry, German Aerospace Center, Germany
TUP.P16.7: DEEPTRCY: LIFE STAGE IDENTIFICATION OF SATELLITE TROPICAL CYCLONE IMAGES
HIDETOMO SAKAINO, Natnapat Gaviphatt, Alivanh Insisiengmay, Louie Zamora, Dwi Fetiria Ningrum, Weathernews Inc., Japan; Shunji Kotsuki, Chiba University, Japan
TUP.P16.8: A NEW CLOUD FEATURE DIFFERENCE LOSS FOR ENHANCING THE DETECTION OF CLOUDS IN REMOTE SENSING IMAGES
Xinyi Xu, Wei He, Yu Xia, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China; Hongyan Zhang, School of Computer, China University of Geosciences, Wuhan, China
Resources
No resources available.