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Found 3 papers, 1 papers with code
Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics
To evaluate the proposed methodology we consider a water mapping task where real data acquired by the Landsat and MODIS instruments are fused generating high spatial-temporal resolution image estimates.
Recursive classification of satellite imaging time-series: An application to water mapping, land cover classification and deforestation detection
Our method also improves the performance of deep learning-based classifiers without the need for additional training data.
Online multi-resolution fusion of space-borne multispectral images
Satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena.
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