Imaging Spectroscopy for Scene Analysis

Name: Imaging Spectroscopy for Scene Analysis
Price: 201.58 AUD
Availability: OutOfStock
ISBN: 9781447146513

Antonio Robles-Kelly, Cong Phuoc Huynh

$251.95 $201.58

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We will update you on expected arrival time to us. If this delay is too long, please let us know within 2 business days and we can give you options regarding cancelling or adjusting your order. More details on cancelling your order can be found in our Terms of Trade.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Springer London Ltd
31 October 2012

Imaging systems & technology; Image processing

Series: Advances in Computer Vision and Pattern Recognition

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.

By: Antonio Robles-Kelly, Cong Phuoc Huynh
Imprint: Springer London Ltd
Country of Publication: United Kingdom
Edition: 2013 ed.
Dimensions: Height: 235mm, Width: 155mm, Spine: 18mm
Weight: 6.083kg
ISBN: 9781447146513
ISBN 10: 1447146514
Series: Advances in Computer Vision and Pattern Recognition
Pages: 270
Publication Date: 31 October 2012
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Introduction.- Spectral Image Acquisition.- Spectral Image Formation Process.- Reflectance Modelling.- Illuminant Power Spectrum.- Photometric Invariance.- Spectrum Representation.- Material Discovery.- Reflection Geometry.- Polarisation of Light.- Shape and Refractive Index from Polarisation.

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.

Reviews for Imaging Spectroscopy for Scene Analysis

“This book is a significant and timely contribution in the area of computer vision for imaging spectroscopy for scene analysis. … This book would be useful to various practitioners and scientists who are working in the area of color image processing, optics, graphics, object reconstruction etc. … The book can be useful for researchers and academics who want to understand imaging spectroscopy for scene understanding. It is a valuable contribution in the area of hyperspectral imaging … .” (Dr. Tanish Zaveri and Bhupendra Fataniya, IAPR Newsletter, Vol. 37 (4), 2015)