FR2.M1: Deep Learning and Remote Sensing for Rapid Disaster Response II
Friday, 8 August, 10:30 - 11:45
Location: Room M1
Session Type: Oral
Session Chair: Nina Merkle, German Aerospace Center
Track: Community-Contributed Sessions
Fri, 8 Aug, 10:30 - 10:45

FR2.M1.1: ENHANCING DEEP LEARNING PERFORMANCE ON BURNED AREA DELINEATION FROM SPOT-6/7 IMAGERY FOR EMERGENCY MANAGEMENT
María Rodríguez, Minh-Tan Pham, IRISA-Université Bretagne Sud, France; Martin Sudmanns, University of Salzburg, Austria; Quentin Poterek, Oscar Narvaez, ICube-SERTIT, Université de Strasbourg, France
Fri, 8 Aug, 10:45 - 11:00

FR2.M1.2: RSAD-CLIP: ZERO-SHOT REMOTE SENSING ANOMALY DETECTION OF THE EARTH’S SURFACE BASED ON PRE-TRAINED VISION-LANGUAGE MODEL
Yu Zhang, Zhi Gao, Wuhan University, China
Fri, 8 Aug, 11:00 - 11:15

FR2.M1.3: A DEEP LEARNING SYSTEM FOR BUILDING DAMAGE ASSESSMENT USING VHR COSMO-SKYMED IMAGERY FOR THE 2023 KAHRAMANMARAŞ EARTHQUAKE
Luigi Russo, University of Pavia, Italy; Deodato Tapete, Italian Space Agency (ASI), Italy; Silvia Liberata Ullo, University of Sannio, Italy; Paolo Gamba, University of Pavia, Italy
Fri, 8 Aug, 11:15 - 11:30

FR2.M1.4: ADVANCED POST-EARTHQUAKE BUILDING DAMAGE ASSESSMENT: SAR COHERENCE TIME MATRIX WITH VISION TRANSFORMER
Yanchen Yang, Chou Xie, Bangsen Tian, Yihong Guo, Yu Zhu, Shuaichen Bian, Ying Yang, Ming Zhang, Yimin Ruan, Aerospace Information Research Institute, Chinese Academy of Science, China
Fri, 8 Aug, 11:30 - 11:45

FR2.M1.5: FREQCROSS: REAL-TIME UAV DISASTER ASSESSMENT VIA FREQUENCY-GUIDED CROSS-DECODER DISTILLATION
Jianchong Guo, Yuting Wan, Ailong Ma, Yanfei Zhong, Wuhan University, China