Automatic Hyperspectral Data Analysis

Name: Automatic Hyperspectral Data Analysis
Brand: VDM Verlag
SKU: 9783639255164
Price: 275.12 RON
Availability: InStock

A machine learning approach to high dimensional feature extraction

Autor: Sildomar Monteiro

Limbă:

Legare: Carte broșată

Editura: VDM Verlag

Disponibilitate: În depozitul extern

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275.12 lei

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

Informații despre carte

Autor

Sildomar Monteiro

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

108

EAN

9783639255164

ISBN

363925516X

Enbook ID

06832967

Editura

VDM Verlag

Greutate

168

Dimensiuni

152 x 229 x 7

Descriere completă

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

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Descriere completă

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