TH3.R15.2
AN EFFICIENT UNSUPERVISED BITEMPORAL PROBABILISTIC CHANGE DETECTION ALGORITHM
Kaamya Varma, Downers Grove North High School, United States; Ranga Raju Vatsavai, North Carolina State University, United States
Session:
TH3.R15: Deep Learning for Earth Observation & Environmental Monitoring Oral
Track:
AI and Big Data
Location:
TBD
Presentation Time:
Thu, 13 Aug, 14:00 - 14:15
Session Co-Chairs:
Esra Erten, ITU and Giampaolo Ferraioli, Università degli Studi di Napoli Parthenope
Presentation
Discussion
Resources
No resources available.
Session TH3.R15
TH3.R15.1: CHARACTERIZATION OF STRIKE-SLIP FAULT OFFSETS USING DEEP LEARNING AND SIMULATED TOPOGRAPHIC DATA
Jules Bourcier, Institut des Sciences de la Terre, France; Sarah Visage, Istituto di Geologia Ambientale e Geoingegneria, Italy; Sofia Goncalves, Sarah Perrinel, Margaux Mouchené, Sophie Giffard-Roisin, Léa Pousse-Beltran, Institut des Sciences de la Terre, France
TH3.R15.2: AN EFFICIENT UNSUPERVISED BITEMPORAL PROBABILISTIC CHANGE DETECTION ALGORITHM
Kaamya Varma, Downers Grove North High School, United States; Ranga Raju Vatsavai, North Carolina State University, United States
TH3.R15.3: THINGS ARE LOOKING UP: ORGANIZING GROUND LEVEL CAMERAS FOR ATMOSPHERIC OBSERVATION
Shrenik Borad, Kevin Robbins, Grady McPeak, Nael Zuhour, George Washington University, United States; Vasha DuTell, Prakash Prashanth, Massachusetts Institute of Technology, United States; Robert Pless, George Washington University, United States
TH3.R15.4: SFCA: SPATIAL-FREQUENCY CONSTRAINED ATTACK FOR REMOTE SENSING OBJECT DETECTION
Sixu Liu, Yanan You, Jie Yang, Beijing University of Posts and Telecommunications, China
TH3.R15.5: SYSTEMATIC FEATURE SELECTION FOR SENTINEL-2 OIL SPILL DETECTION: A DATA-DRIVEN APPROACH TO OPTIMAL BAND SELECTION
Konstantinos Christofi, Charalambos Chrysostomou, Kyriakos Aristidou, Michalis Mavrovouniotis, Diofantos Hadjimitsis, Eratosthenes Centre of Excellence, Cyprus
Contacts