THP2.PB.3
ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink
Woojin Cho, Junghwan Park, Sangcheol Sim, Steve Andreas Immanuel, Junhyuk Heo, Darongsae Kwon, TelePIX, Korea (South)
Session:
THP2.PB: Machine Learning for Decision Support Poster
Track:
AI and Big Data
Location:
TBD
Presentation Time:
Thu, 13 Aug, 15:00 - 16:15
Session Co-Chairs:
Jens Nieke, European Space Research and Technology Centre (ESTEC) and Corrado Chiatante,
Presentation
Discussion
Resources
No resources available.
Session THP2.PB
THP2.PB.1: A GIS-Enabled Decision Support Platform for Global R&D Funding Discovery with Advanced Spatial Analytics
Cebir Kaplan, Esra Erten, Istanbul Technical University, Türkiye
THP2.PB.2: DYNAMIC TARGETING OF CONVECTIVE PRECIPITATION WITH REINFORCEMENT LEARNING
Suvan Kumar, University of Southern California, United States; Josue Tapia, Johns Hopkins University, United States; Paul Grogan, Arizona State University, United States
THP2.PB.3: ELMZip: Onboard Satellite Image Compression via Extreme Learning Machines for Efficient Downlink
Woojin Cho, Junghwan Park, Sangcheol Sim, Steve Andreas Immanuel, Junhyuk Heo, Darongsae Kwon, TelePIX, Korea (South)
THP2.PB.4: HYBRID DEEP LEARNING ARCHITECTURE FOR TEMPORAL FORECASTING OF MARTIAN ATMOSPHERIC OPACITY: A RETROSPECTIVE VALIDATION STUDY
Samet Karakas, Adana Alparslan Türkeş Science and Technology University, Türkiye
THP2.PB.5: DAC-LOOP: DISTILLATION-AWARE COMPRESSION FOR REMOTE SENSING CNN
Rico Staedeli, Lorena Raichle, Konstantinos Tzevelekakis, Aron Asefaw, Damian Borth, University of St.Gallen, Switzerland
Contacts