Feature Selection for Anomaly Detection in Hyperspectral Data

Name: Feature Selection for Anomaly Detection in Hyperspectral Data
Brand: VDM Verlag
SKU: 9783639168280
Price: 68.56 EUR
Availability: InStock

Автор: Songyot Nakariyakul

Език:

Корици: С меки корици

Издател: VDM Verlag

Наличност: Външен склад

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68.56 € 134.09 лв

Over the past decade, use of hyperspectral imagery §has been intensively investigated for agricultur...

Информация за книгата

Автор

Songyot Nakariyakul

Език

Английски език

Корици

Книга - С меки корици

Издадена

2009

страници

184

EAN

9783639168280

ISBN

3639168283

Enbook ID

06825189

Издател

VDM Verlag

Теглоt

277

Размери

152 x 229 x 11

Пълно описание

Over the past decade, use of hyperspectral imagery §has been intensively investigated for agricultural §product inspection, since it introduces a new §noninvasive machine-vision method that gives a very §accurate inspection rate. The spectral information §in hyperspectral data uniquely characterizes and §identifies the chemical and/or physical properties §of the constituent parts of an agricultural product §that are useful for product inspection. One of the §main problems in using these high-dimensional data §is that there are often not enough training samples. §This book, therefore, provides novel feature §selection algorithms to effectively reduce the §dimensionality of hyperspectral data. Experimental §results comparing the proposed algorithms to other §well-known feature selection algorithms are §presented for two case studies in chicken carcass §inspection. This book provides insightful §discussions on feature selection for hyperspectral §data for specific food safety applications and §should be especially useful to engineers and §scientists who are interested in pattern §recognition, hyperspectral data processing, food §safety research, and data mining.

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Feature Selection for Anomaly Detection in Hyperspectral Data

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