Reconstruction of Hyperspectral Images Using Generative Adversarial Networks

Reconstruction of Hyperspectral Images Using Generative Adversarial Networks

Fast detection and identification of unknown substances is an area of interest for many parties. Raman spectroscopy is a laser-based method allowing for long range no contact investigation of substances. A Coded Aperture Snapshot Spectral Imaging (CASSI) system allows for fast and efficient measurem...

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Bibliographic Details
Main Author: Eek, Jacob
Format: Others
Language:English
Published: Linköpings universitet, Reglerteknik 2021
Subjects:
Coded aperture snapshot spectral imaging
CASSI
Raman
Raman spectroscopy
Explosive
Detection
Hyperspectral Image
HSI
Compressed sensing
Compressive Sensing
CS
Machine Learning
Reconstruction
Inverse problem
Generative Adversarial Network
GAN
CGAN
BEGAN
Latent variable optimization
Signal Processing
Signalbehandling
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181808

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181808

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