Tasuta kohaletoimetamine tellimustele üle 29 €
  • check 10+ miljonit raamatut
  • check Uued tooted iga päev
  • check Meid usaldab üle 1 miljoni kliendi
  • check Hea hind ja allahindlused
  • check Tarne üle kogu Euroopa

Feature Selection for Anomaly Detection in Hyperspectral Data: Algorithms, Methods, and Applications - Songyot Nakariyakul

inglise keel
2009-06-30
83,54 € 139,24 €

-40% koodiga BOOKS

Meie tarnija laos

Saadetis 10-16 tööpäeva jooksul

30-päevane tagastamisõigus

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 ar ... Täielik kirjeldus

Võib-olla meeldib sulle ka

Kirjeldus

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.

Lisateave

Autor Songyot Nakariyakul
Kirjastaja VDM Verlag
Väljalaskeaasta 2009
Kaanetüüp Pehme kaanega
EAN 9783639168280
Kirjuta oma arvustus
Te vaatate: Feature Selection for Anomaly Detection in Hyperspectral Data: Algorithms, Methods, and Applications
Teie hinnang:

Goodreads'i arvustused

83,54 € 139,24 €