THP2.PB.9
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:
Columbia, Poster Area B
Presentation Time:
Thursday, 13 August, 15:00 - 16:15
Session Co-Chairs:
Jens Nieke, European Space Research and Technology Centre (ESTEC) and Corrado Chiatante,
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Session THP2.PB
THP2.PB.8: A GIS-Enabled Decision Support Platform for Global R&D Funding Discovery with Advanced Spatial Analytics
Cabir Kaplan, Tubitak, Türkiye; Esra Erten, Ali Görçin, Istanbul Technical University, Türkiye
THP2.PB.9: 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.10: 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.11: DAC-LOOP: DISTILLATION-AWARE COMPRESSION FOR REMOTE SENSING CNN
Rico Staedeli, Lorena Raichle, Konstantinos Tzevelekakis, Aron Asefaw, Damian Borth, University of St.Gallen, Switzerland
Resources
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