4 papers · 1 filter
A Fast Methane Detection Pipeline on Board Satellites Based on Mag1c-SAS and LinkNet
Jonáš Herec, Vít Růžička, Rado Pitoňák +1
Methane is a potent greenhouse gas, and detecting leaks early via hyperspectral satellite imagery can help climate change mitigation efforts. Meanwhile, many existing hyperspectral…
Fast-SEnSeI: Lightweight Sensor-Independent Cloud Masking for On-board Multispectral Sensors
Jan Kněžík, Jonáš Herec, Rado Pitoňák
Cloud segmentation is a critical preprocessing step for many Earth observation tasks, yet most models are tightly coupled to specific sensor configurations and rely on ground-based…
Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware
Jonáš Herec, Vít Růžička, Rado Pitoňák
Methane is a potent greenhouse gas, and detecting its leaks early via hyperspectral satellite imagery can help mitigate climate change. Meanwhile, many existing missions operate in…
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
Daniel Kovac, Jan Mucha, Jon Alvarez Justo +7
This article explores the latest Convolutional Neural Networks (CNNs) for cloud detection aboard hyperspectral satellites. The performance of the latest 1D CNN (1D-Justo-LiuNet) an…