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Image Processing and GIS for Remote Sensing: Techniques and Applications Hardback - 2016 - 2nd Edition
by Liu, Jian Guo
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- Hardback
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Details
- Title Image Processing and GIS for Remote Sensing: Techniques and Applications
- Author Liu, Jian Guo
- Binding Hardback
- Edition number 2nd
- Edition 2
- Condition New
- Pages 480
- Volumes 1
- Language ENG
- Publisher Wiley-Interscience
- Publication date 2016-03-21
- Features Bibliography, Index, Maps
- Bookseller's Inventory # DADAX1118724208
- ISBN 9781118724200 / 1118724208
- Weight 2.65 lbs (1.20 kg)
- Dimensions 9.7 x 7.3 x 1 in (24.64 x 18.54 x 2.54 cm)
- Size 7.60x1.10x9.80
- Category Technology & Industrial Arts
- Library of Congress subjects Image processing, Remote sensing
- Library of Congress Catalogue Number 2015030350
- Dewey Decimal Code 621.367
- Quantity available 1
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From the rear cover
Following the successful publication of the 1st edition in 2009, the 2nd edition maintains its aim to provide an application-driven package of essential techniques in image processing and GIS, together with case studies for demonstration and guidance in remote sensing applications. The book therefore has a "3 in 1" structure which pinpoints the intersection between these three individual disciplines and successfully draws them together in a balanced and comprehensive manner.
The book conveys in-depth knowledge of image processing and GIS techniques in an accessible and comprehensive manner, with clear explanations and conceptual illustrations used throughout to enhance student learning. The understanding of key concepts is always emphasised with minimal assumption of prior mathematical experience.
The book is heavily based on the authors' own research. Many of the author-designed image processing techniques are popular around the world. For instance, the SFIM technique has long been adopted by ASTRIUM for mass-production of their standard "Pan-sharpen" imagery data. The new edition also includes a completely new chapter on subpixel technology and new case studies, based on their recent research.
