FR1.B3: Al for On-board Satellite Analytics
Friday, 8 August, 08:00 - 09:15
Location: Room B3
Session Type: Oral
Track: Special Scientific Themes
Fri, 8 Aug, 08:00 - 08:15

FR1.B3.1: MULTIMODAL REGISTRATION VIA REUSABLE ENCODERS FOR ONBOARD CHANGE DETECTION
Monikka Roslianna Busto, Takeharu Eda, Hiroyuki Makino, Nippon Telegraph and Telephone Corporation, Japan
Fri, 8 Aug, 08:15 - 08:30

FR1.B3.2: TRANSFORMING VOLCANIC MONITORING: A DATASET AND BENCHMARK FOR ONBOARD VOLCANO ACTIVITY DETECTION
Darshana Priyasad, Tharindu Fernando, Maryam Haghighat, Harshala Gammulle, Clinton Fookes, Queensland University of Technology, Australia
Fri, 8 Aug, 08:30 - 08:45

FR1.B3.3: PARTIAL LEAST SQUARES REGRESSION CHLOROPHYLL-A ESTIMATION PIPELINE FOR HYPSO-1 & -2 HYPERSPECTRAL CUBE SATELLITES
Cameron Penne, Perumthuruthil Suseelan Vishnu, Milica Orlandić, Norwegian University of Science and Technology, Norway
Fri, 8 Aug, 08:45 - 09:00

FR1.B3.4: The Cubesat Case Study: Resource- Efficient Deep Learning For Space Application
Surendra Bohara, Alison Shilpakar, Kushal KC, Sujan Tyata, Abhas Maskey, Antarikchya Pratisthan Nepal, Nepal
Fri, 8 Aug, 09:00 - 09:15

FR1.B3.5: OPTIMIZED AI MODEL DEVELOPMENT FOR ON-BOARD IMAGE CLASSIFICATION IN CUBESATS USING BIRDS SATELLITE IMAGERY
Dexter James Cuaresma, Adamson University, Philippines; Dylan Josh Lopez, De La Salle University, Philippines; Mark Angelo Purio, Adamson University, Philippines