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Found 2 papers, 1 papers with code
Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior
Unlike conventional AOI generation methods, such as the Road-cut method that segments road networks at various levels, our approach diverges from semantic segmentation algorithms that depend on pixel-level classification.
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
However, FPGA has difficulty extracting the most discriminative features when the sample data is imbalanced.
Ranked #1 on
Hyperspectral Image Classification
on Indian Pines
(Kappa metric, using extra
training data)
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