4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Spatio-Temporal Transformers for Long-Term NDVI Forecasting
Ido Faran, Nathan S. Netanyahu, Maxim Shoshany
Long-term satellite image time series (SITS) analysis in heterogeneous landscapes faces significant challenges, particularly in Mediterranean regions where complex spatial patterns…
eess.IV2019★ 4 cited
Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data
Ido Faran, Nathan S. Netanyahu, Eli David +4
Training a deep neural network for classification constitutes a major problem in remote sensing due to the lack of adequate field data. Acquiring high-resolution ground truth (GT)…