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cs.RO2024
Forest Biomass Mapping with Terrestrial Hyperspectral Imaging for Wildfire Risk Monitoring
Nathaniel Hanson, Sarvesh Prajapati, James Tukpah +2
With the rapid increase in wildfires in the past decade, it has become necessary to detect and predict these disasters to mitigate losses to ecosystems and human lives. In this pap…
cs.LG2024
Cuvis.Ai: An Open-Source, Low-Code Software Ecosystem for Hyperspectral Processing and Classification
Nathaniel Hanson, Philip Manke, Simon Birkholz +3
Machine learning is an important tool for analyzing high-dimension hyperspectral data; however, existing software solutions are either closed-source or inextensible research produc…