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
Session:
THP2.PF: Multisensor Data Fusion and Geospatial Data Intelligence IV Poster
Track:
Community-Contributed Sessions
Location:
Poster Area
Presentation Time:
Thursday, 7 August, 14:30 - 15:45
Presentation
Discussion
Resources
No resources available.
Session THP2.PF
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
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
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
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
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
Resources
No resources available.