TH4.R1.7

A BIO-INSPIRED HIERARCHICAL UNDERSTANDING FRAMEWORK FOR SATELLITE VIDEOS LEVERAGING LOW-RANK REPRESENTATION AND LARGE LANGUAGE MODEL

Xuhui Zhao, Zhenghao Liao, Yue Huang, Siqi Liu, Zhi Gao, Wuhan University, China
Session:
TH4.R1: Temporal Data Analysis: Classification I Oral
Track:
Data Analysis
Location:
Trianti
Presentation Time:
Thu, 11 Jul, 18:44 - 18:58
Session Co-Chairs:
Andrea Garzelli, University of Siena and Francesca Bovolo, Fondazione Bruno Kessler
Presentation
Discussion
Resources
No resources available.
Session TH4.R1
TH4.R1.1: DATA-DRIVEN PREDICTION OF LARGE INFRASTRUCTURE MOVEMENTS THROUGH PERSISTENT SCATTERER TIME SERIES MODELING
Gideon Stein, Jonas Ziemer, Friedrich Schiller University Jena, Germany; Carolin Wicker, Ruhrverband, Germany; Jannik Jaenichen, Friedrich Schiller University Jena, Germany; Gabriele Demisch, Daniel Kloepper, Katja Last, Ruhrverband, Germany; Joachim Denzler, Christiane Schmullius, Maha Shadaydeh, Friedrich Schiller University Jena, Germany; Clémence Dubois, German Aerospace Center, Germany
TH4.R1.2: DUAL-TASK FRAMEWORK FOR CHANGE DETECTION IN REMOTE SENSING IMAGE TIME SERIES
Milena Atanasova, Luca Bergamasco, Francesca Bovolo, Fondazione Bruno Kessler, Italy
TH4.R1.3: ONE-CLASS CLASSIFICATION OF VEGETATION RELATED CHANGES VIA MUTUAL ORDERING OF NORMALIZED DIFFERENCES
Massimo Zanetti, Francesca Bovolo, Fondazion Bruno Kessler, Italy
TH4.R1.4: TIME SERIES DIRECTIONAL CHANGE VECTOR ANALYSIS
Indira Aprilia Listiani, University of Trento and Fondazione Bruno Kessler, Italy; Massimo Zanetti, Francesca Bovolo, Fondazione Bruno Kessler, Italy
TH4.R1.5: EVOLVING OUTLINES OF ANTARCTIC ACTIVE SUBGLACIAL LAKES USING AN IMAGE PROCESSING ALGORITHM ON GRIDDED ALTIMETRY DATA
Wilson Sauthoff, Matthew Siegfried, Colorado School of Mines, United States; Benjamin Smith, University of Washington, United States
TH4.R1.6: HARNESSING FEATURE CLUSTERING FOR ENHANCED ANOMALY DETECTION WITH VARIATIONAL AUTOENCODER AND DYNAMIC THRESHOLD
Tolulope Ale, Vandana Janeja, University of Maryland Baltimore County, United States; Nicole-Jeanne Schlegel, National Oceanic and Atmospheric Administration, United States
TH4.R1.7: A BIO-INSPIRED HIERARCHICAL UNDERSTANDING FRAMEWORK FOR SATELLITE VIDEOS LEVERAGING LOW-RANK REPRESENTATION AND LARGE LANGUAGE MODEL
Xuhui Zhao, Zhenghao Liao, Yue Huang, Siqi Liu, Zhi Gao, Wuhan University, China
Resources
No resources available.