FR4.P11.5
OPTIMISING BACKGROUND TEMPERATURES FOR FIRE DETECTION: A WEIGHT FUNCTION FRAMEWORK FOR MULTI-SENSOR DATA FUSION
Nur Fajar Trihantoro, Simon Jones, Karin Reinke, Royal Melbourne Institute of Technology University, Australia
Session:
FR4.P11: Advances in Multimodal Remote Sensing Image Processing and Interpretation IV Oral
Track:
Community-Contributed Sessions
Location:
Room P11
Presentation Time:
Friday, 8 August, 16:45 - 17:00
Presentation
Discussion
Resources
No resources available.
Session FR4.P11
FR4.P11.1: Hyperspectralization: Hyperspectral Image Reconstruction from A Patch-Sampled Observation
Saori Takeyama, Shunsuke Ono, Institute of Science Tokyo, Japan
FR4.P11.2: CROSS-MODAL DISTILLATION WITH MULTI-MODAL FUSION NETWORKS FOR REMOTE SENSING TARGET RECOGNITION UNDER MISSING MODALITIES
Huan Liu, Lan Du, National Key Laboratory of Radar Signal Processing, Xidian, University, Xi’an 710071, China, China; Yu Shi, College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, 266580,China, China; Yuchen Guo, Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an 710071, China, China; Xin Liu, Hongxing Dang, China Academy of Space Technology, Xi’an, 710071, China, China
FR4.P11.3: Vessel-DINO: Multimodal Foundation Models for Maritime Vessel Detection
Chenyu Li, Southeast University, China; Danfeng Hong, Bing Zhang, Chinese Academy of Sciences, China; Jocelyn Chanussot, Univ. Grenoble Alpes, France
FR4.P11.4: VISION TRANSFORMER-BASED TIME-SERIES IMAGE RECONSTRUCTION FOR CLOUD-FILLING APPLICATIONS
Lujun Li, Yiqun Wang, Radu State, University of Luxembourg, Luxembourg
FR4.P11.5: OPTIMISING BACKGROUND TEMPERATURES FOR FIRE DETECTION: A WEIGHT FUNCTION FRAMEWORK FOR MULTI-SENSOR DATA FUSION
Nur Fajar Trihantoro, Simon Jones, Karin Reinke, Royal Melbourne Institute of Technology University, Australia
Resources
No resources available.