2 papers
eess.IV2024
Quick unsupervised hyperspectral dimensionality reduction for earth observation: a comparison
Daniela Lupu, Joseph L. Garrett, Tor Arne Johansen +2
Dimensionality reduction can be applied to hyperspectral images so that the most useful data can be extracted and processed more quickly. This is critical in any situation in which…
cs.CV2023
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
Jon Alvarez Justo, Alexandru Ghita, Daniel Kovac +5
Satellites are increasingly adopting on-board AI to optimize operations and increase autonomy through in-orbit inference. The use of Deep Learning (DL) models for segmentation in h…