Mohlo by sa vám tiež páčiť

Viac informácií o knihe Automatic Hyperspectral Data Analysis

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 118 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Technology, engineering, agriculture Technology: general issues

• Celý názov: Automatic Hyperspectral Data Analysis
• Podnázov: A machine learning approach to high dimensional feature extraction
• Autor: Sildomar Monteiro
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 108
• EAN: 9783639255164
• ISBN: 363925516X
• ID: 06832967
• Nakladateľ: VDM Verlag
• Hmotnosť: 168 g
• Rozmery: 229 × 152 × 7 mm
• Dátum vydania: 26. May 2010

Obľúbené z iného súdka

---

---

---