Description: Imaging Spectroscopy for Scene Analysis by Antonio Robles-Kelly, Cong Phuoc Huynh Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding. Features: discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation; Publisher Description This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding. The opportunities and challenges of combining spatial and spectral information are explored in depth, as are a wide range of applications. Features: discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation; examines models of surface reflectance, the recovery of photometric invariants, and the estimation of the illuminant power spectrum from spectral imagery; describes spectrum representations for the interpolation of reflectance and radiance values, and the classification of spectra; reviews the use of imaging spectroscopy for material identification; explores the recovery of reflection geometry from image reflectance; investigates spectro-polarimetric imagery, and the recovery of object shape and material properties using polarimetric images captured froma single view. Author Biography Dr. Antonio Robles-Kelly is a Principal Researcher at NICTA, where he leads the Spectral Imaging project. He is also an Adjunct Associate Professor at the Australian National University and Conjoint Senior Lecturer at the University of New South Wales, Australia. Dr. Cong Phuoc Huynh is a Researcher at NICTA, and an Adjunct Research Fellow at the Australian National University, Australia. Details ISBN 1447146514 ISBN-13 9781447146513 Title Imaging Spectroscopy for Scene Analysis Author Antonio Robles-Kelly, Cong Phuoc Huynh Format Hardcover Year 2012 Pages 270 Edition 2013th Publisher Springer London Ltd GE_Item_ID:140267298; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 136.3 USD
Location: Fairfield, Ohio
End Time: 2024-12-31T03:12:10.000Z
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ISBN-13: 9781447146513
Book Title: Imaging Spectroscopy for Scene Analysis
Number of Pages: Xviii, 270 Pages
Language: English
Publication Name: Imaging Spectroscopy for Scene Analysis
Publisher: Springer London, The Limited
Publication Year: 2012
Subject: Spectroscopy & Spectrum Analysis, Computer Vision & Pattern Recognition
Item Weight: 214.6 Oz
Type: Textbook
Author: Antonio Robles-Kelly, Cong Phuoc Huynh
Subject Area: Computers, Science
Item Length: 9.3 in
Item Width: 6.1 in
Series: Advances in Computer Vision and Pattern Recognition Ser.
Format: Hardcover