Hyperspectral Image Generation, Processing and Analysis

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Hyperspectral imaging is utilised in many applications, where measured data are processed, interpreted and converted into physical, chemical and/or biological properties of the target objects and/or processes being studied. In this thesis, various methods were proposed and applied to crop reflectance data (acquired by hand-held spectrometers) to detect, characterise and quantify disease severity and plant density. Furthermore, various surface water quality parameters of inland waters have been monitored using hyperspectral images acquired by airborne systems. However, the large size of these images raises the need for efficient data reduction. A new type of self- organising weighted neural networks was proposed…

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Description

Hyperspectral imaging is utilised in many applications, where measured data are processed, interpreted and converted into physical, chemical and/or biological properties of the target objects and/or processes being studied. In this thesis, various methods were proposed and applied to crop reflectance data (acquired by hand-held spectrometers) to detect, characterise and quantify disease severity and plant density. Furthermore, various surface water quality parameters of inland waters have been monitored using hyperspectral images acquired by airborne systems. However, the large size of these images raises the need for efficient data reduction. A new type of self- organising weighted neural networks was proposed and used for efficient reduction, mapping and clustering of large high-dimensional data sets, such as hyperspectral images. Finally, the analysis can be reversed to generate high resolution spectra from simpler measurements using multiple colour-filter mosaics, as suggested in the thesis. The acquired instantaneous image is demosaicked to generate a multi-band image that can finally be transformed into a hyperspectral image.

Langue
en
Version
Broché
Date de sortie initiale
02 juin 2010
Nombre de pages
64
Illustrations
Non

Personnes impliquées

Auteur principal

Hamed Hamid Muhammed

Editeur principal

Lap Lambert Academic Publishing

Informations sur le fabricant

Nom du fabricant
OmniScriptum SRL
Adresse du fabricant
Str. Armeneasca 28/1, office 1 | 2012| Chisinau| MD
Adresse électronique du fabricant
info@omniscriptum.com

Autres spécifications

Hauteur de l’emballage
4 mm
Hauteur du produit
4 mm
Largeur d’emballage
152 mm
Largeur du produit
152 mm
Livre d‘étude
Oui
Longueur d’emballage
229 mm
Longueur du produit
229 mm
Poids de l’emballage
104 g
Police de caractères extra large
Non

EAN

EAN
9783838319735

Sécurité des produits

Opérateur économique responsable dans l’UE

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Catégories

Technologie et architecture

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Livre

Disponibilité

Disponible à l’adresse suivante

Langue

Anglais

Type de livre

Paperback

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