2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024
A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery
Jixue Liu, Jiuyong Li, Stefan Peters +1
Many studies have been done to detect smokes from satellite imagery. However, these prior methods are not still effective in detecting various smokes in complex backgrounds. Smokes…
cs.CY2023★ 2 cited
Learning Class-Specific Spectral Patterns to Improve Deep Learning Based Scene-Level Fire Smoke Detection from Multi-Spectral Satellite Imagery
Liang Zhao, Jixue Liu, Stefan Peters +3
Detecting fire smoke is crucial for the timely identification of early wildfires using satellite imagery. However, the spatial and spectral similarity of fire smoke to other confou…