Efficient Onboard Band Selection Algorithm for Hyperspectral Imagery in SmallSat Missions With Limited Downlink Capabilities

Efficient Onboard Band Selection Algorithm for Hyperspectral Imagery in SmallSat Missions With Limited Downlink Capabilities

Hyperspectral imaging is a key tool in numerous remote sensing applications. Images with tens or even hundreds of spectral bands contain a wealth of information to retrieve multiple geophysical parameters, to perform target detection, or land classification with unbeatable high accuracies. In additi...

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Bibliographic Details
Main Authors: David Llaveria, Hyuk Park, Adriano Camps, Ram Narayan Patro
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Band selection
CubeSats
data compression
hyperspectral imaging
remote sensing
SmallSats
Online Access:https://ieeexplore.ieee.org/document/10495127/

Internet

https://ieeexplore.ieee.org/document/10495127/

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