most citedGround Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

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)…