activity
20182026
most citedDeep Active Learning in Remote Sensing for data efficient Change Detection

20 citations · 24 across the 4 of their papers we have counts for

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cs.CV2026

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…

cs.CV2025

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…

cs.CV20222 cited

Unsupervised Wildfire Change Detection based on Contrastive Learning

Beichen Zhang, Huiqi Wang, Amani Alabri +4

The accurate characterization of the severity of the wildfire event strongly contributes to the characterization of the fuel conditions in fire-prone areas, and provides valuable i…

cs.CV202020 cited

Deep Active Learning in Remote Sensing for data efficient Change Detection

Vít Růžička, Stefano D'Aronco, Jan Dirk Wegner +1

We investigate active learning in the context of deep neural network models for change detection and map updating. Active learning is a natural choice for a number of remote sensin…

cs.CV2018

Fast and accurate object detection in high resolution 4K and 8K video using GPUs

Vít Růžička, Franz Franchetti

Machine learning has celebrated a lot of achievements on computer vision tasks such as object detection, but the traditionally used models work with relatively low resolution image…