Information extraction and dimensionality reduction of hyperspectral datasets through spectral region analyses

Doctoral thesis (2018)

Authors

S.E. Hosseini Aria Optical and Laser Remote Sensing - CEG
Research Group
Optical and Laser Remote Sensing (CEG) (TU Delft)
Copyright: © 2018 S.E. Hosseini Aria
DOI: https://doi.org/10.4233/uuid:72b4a11a-d394-433a-b1d1-1f40eb8bd8c6
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Published Date

2018

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Optical and Laser Remote Sensing

Abstract

Hyperspectral images present detailed spectral information of every pixel in
the images where the spectral signal is sampled in hundreds of narrow and
contiguous spectral channels, usually covering the 400-2500 nm spectral region
where sunlight reflected by the Earth can be measured. Earth observation systems
acquire spectral information by imaging spectrometers mounted in a platform
flying over the Earth. Recent advances in technology make it possible to have
miniaturised hyperspectral satellites in orbit. Much of the work presented in this
thesis was inspired by the study of a CubeSat equipped with an imaging
spectrometer and capable of onboard data processing.