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Found 2 papers, 1 papers with code
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)
Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China
The change complexity lies in the detailed scale of high granularity data, and in the geometric units used to simulate the change.
Computers and Society
