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 TU2.R10
Paper TU2.R10.2
TU2.R10.2
A MULTIMODAL SUPERVISED MACHINE LEARNING APPROACH FOR SATELLITE-BASED WILDFIRE IDENTIFICATION IN EUROPE
Angelica Urbanelli, Luca Barco, LINKS Foundation, Italy; Edoardo Arnaudo, Politecnico di Torino, Italy; Claudio Rossi, LINKS Foundation, Italy
Session:
TU2.R10: Advances in Multimodal Remote Sensing Image Processing and Interpretation II
Oral
Track:
Community-Contributed Sessions
Location:
Room 101
Presentation Time:
Tue, 18 Jul, 10:27 - 10:39 Pacific Time (UTC -8)
Session Co-Chairs:
Shuiping Gou, Xidian University and Lexie Yang, Oak Ridge National Laboratory
Session Manager:
Abhishek Singh
Presentation
Not logged in.
Not logged in.
Discussion
Not logged in.
Resources
No resources available.
Session TU2.R10
TU2.R10.1: MULTIMODAL REMOTE SENSING IMAGE MATCHING USING REPEATABLE FEATURE DETECTOR AND ROTATION-INVARIANT FEATURE DESCRIPTOR
Jiwei Deng, China Railway Design Corporation, China; Bai Zhu, Chao Yang, Southwest Jiaotong University, China; Hai Zhao, China Railway Design Corporation, China; Yuanxin Ye, Southwest Jiaotong University, China
TU2.R10.2: A MULTIMODAL SUPERVISED MACHINE LEARNING APPROACH FOR SATELLITE-BASED WILDFIRE IDENTIFICATION IN EUROPE
Angelica Urbanelli, Luca Barco, LINKS Foundation, Italy; Edoardo Arnaudo, Politecnico di Torino, Italy; Claudio Rossi, LINKS Foundation, Italy
TU2.R10.3: FEATURE ADVERSARIAL NETWORK FOR MULTIMODAL TEMPLATE MATCHING
Xiushe Zhang, The 20th Research Institute of China Electronics Technology Group Corporation, China; Xinlin Wang, Xidian University, China; Chunlei Han, The 20th Research Institute of China Electronics Technology Group Corporation, China; Jinming Mu, Shuiping Gou, Xidian University, China
TU2.R10.4: MODELING HIGH-ORDER CORRELATIONS VIA HYPERGRAPH NEURAL NETWORK FOR CROSS-MODAL REMOTE SENSING IMAGE RETRIEVAL
Fanglong Yao, Xian Sun, Nayu Liu, Changyuan Tian, Liangyu Xu, Leiyi Hu, Chibiao Ding, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China, China
TU2.R10.5: SCENE-LEVEL MATCHING BETWEEN REMOTE SENSING OPTICAL AND SAR IMAGES
Haiyang Zhong, Yiming Yan, Harbin Engineering University, China; Guihua Gu, Shanghai Institute of Satellite Engineering, China; Nan Su, Hongzhe Zhang, Harbin Engineering University, China
Resources
No resources available.