THP2.PF: Multisensor Data Fusion and Geospatial Data Intelligence IV
Thursday, 7 August, 14:30 - 15:45
Location: Poster Area
Session Type: Poster
Track: Community-Contributed Sessions
Poster Area

THP2.PF.1: WETLAND MAPPING USING DEEP LEARNING AND REMOTELY SENSED DATA: A CASE STUDY IN WILMINGTON, NORTH CAROLINA
Matilda Anokye, Leila Hashemi-Beni, North Carolina Agricultural and Technical State University, United States
Poster Area

THP2.PF.2: GLOBAL ATTENTION FUSION MODEL BASED ON DUAL-PATH DIFFUSION
Hao Cai, Lu Wang, Min Ouyang, Harbin Engineering University, China; Zekun Long, Griffith University, Australia; Chunhui Zhao, Harbin Engineering University, China; P. Takis Mathiopoulos, National and Kapodistrian University of Athens, Greece
Poster Area

THP2.PF.3: PERFORMANCE ANALYSIS OF CODE-BASED SINGLE-FREQUENCY REAL-TIME PRECISE POINT POSITIONING OVER LATIN AMERICA
Ludmila Aparecida de Oliveira, Felipe Oliveira e Silva, Danilo Alves de Lima, Federal University of Lavras, Brazil; Vinicius Manhaes Gabriel de Brito Cavalcanti, Fluminense Federal Institute of Education, Science and Technology, Brazil
Poster Area

THP2.PF.4: Analysis of Subsurface Scattering Effects on the Uncertainties of Advanced Scatterometer (ASCAT) Soil Moisture Data and Their Impact on Land Data Assimilation
Hyunglok Kim, Gwangju Institute of Science and Technology (GIST), Korea (South); Wolfgang Wagner, Technische Universita ̈t Wien, Austria; Subin Kim, Gwangju Institute of Science and Technology (GIST), Korea (South); Yonghwan Kwon, Korea Institute of Atmospheric Prediction Systems, Korea (South)
Poster Area

THP2.PF.5: MULTI-VIEW DATA FUSION IN FEATURE AND DECISION SPACES FOR FLOOD INUNDATION MAPPING
Ankita Agrawal, Aparajita Khan, Balasubramanian Raman, Indian Institute of Technology Roorkee, India
Poster Area

THP2.PF.6: CHANGE DETECTION WITH AUTOENCODERS FOR DISASTER MONITORING: A CASE STUDY ON LANDSLIDE DETECTION USING THRESHOLDING
Gazali Agboola, Leila Hashemi Beni, North Carolina Agricultural and Technical State University, United States