Automatic Hyperspectral Data Analysis

Name: Automatic Hyperspectral Data Analysis
Brand: VDM Verlag
SKU: 9783639255164
Price: 1149 CZK
Availability: InStock

A machine learning approach to high dimensional feature extraction

Autor: Sildomar Monteiro

Jazyk:

Vazba: Brožovaná

Vydavatel: VDM Verlag

Dostupnost: Skladem u dodavatele

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Advances in spectroscopy sensors have allowed the acquisition of ever-increasing volumes of data fro...

Informace o knize

Autor

Sildomar Monteiro

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

108

EAN

9783639255164

ISBN

363925516X

Enbook ID

06832967

Vydavatel

VDM Verlag

Hmotnost

168

Rozměry

152 x 229 x 7

Kompletní popis

Advances in spectroscopy sensors have allowed the acquisition of ever-increasing volumes of data from scenes, either remotely, by air- or space-borne devices, or locally, by hand-held spectrometers or stand-alone cameras. With this boom in the amount of data available has also come a greater need for extracting useful information efficiently and for developing automated methods for novel applications. Traditional approaches to spectral analysis often require a great deal of human effort and prior knowledge, and have difficulty in processing high dimensional data sets provided by new sensors. This book, therefore, provides an alternative approach to select relevant features from hyperspectral data utilizing machine learning to automate the analysis. The methods are developed in the context of two applications: in biomedical imaging and in precision agriculture. The techniques discussed should be useful to graduate students and researchers in computer science and engineering interested in hyperspectral imaging, remote sensing or optimization for high dimensional data.

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Automatic Hyperspectral Data Analysis

A machine learning approach to high dimensional feature extraction

Informace o knize

Kompletní popis

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Zákaznicí kteří koupili tuto knihu koupili také