2 citations · 2 across the 2 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples
Sam Khallaghi, Rahebe Abedi, Hanan Abou Ali +12
The accuracy of mapping agricultural fields across large areas is steadily improving with high-resolution satellite imagery and deep learning (DL) models, even in regions where fie…
cs.CV2024★ 2 cited
Seeing Through the Clouds: Cloud Gap Imputation with Prithvi Foundation Model
Denys Godwin, Hanxi Li, Michael Cecil +1
Filling cloudy pixels in multispectral satellite imagery is essential for accurate data analysis and downstream applications, especially for tasks which require time series data. T…