Contact
Hoe winkelen bij ons werkt
Bezorging
Winkelgids
Automatic Hyperspectral Data Analysis
A machine learning approach to high dimensional feature extraction
Engels
125 b
Retourneren binnen 30 dagen
Klanten kochten ook
/
Gebonden (paperback)
12.75
€
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.
Informatie over het boek
Engels
Geef dit boek vandaag nog cadeau
Dat gaat heel eenvoudig
1 Voeg het boek toe aan je winkelwagentje en selecteer Als cadeau bezorgen 2 Je krijgt van ons per omgaand een voucher 3 Het boek wordt bezorgd op het adres van de ontvangerDit vind je misschien ook interessant
/
Gebonden (paperback)
25.11
€
/
Gebonden (paperback)
14.98
€
/
Gebonden (paperback)
26.83
€
/
Gebonden (paperback)
51.54
€
/
Gebonden (harde band)
103.10
€
