Image Processing and GIS for Remote Sensing is popular PDF and ePub book, written by Jian Guo Liu in 2016-03-21, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Image Processing and GIS for Remote Sensing can be Read Online from any device for your convenience.

Image Processing and GIS for Remote Sensing Book PDF Summary

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.

Detail Book of Image Processing and GIS for Remote Sensing PDF

Image Processing and GIS for Remote Sensing
  • Author : Jian Guo Liu
  • Release : 21 March 2016
  • Publisher : John Wiley & Sons
  • ISBN : 9781118724200
  • Genre : Technology & Engineering
  • Total Page : 484 pages
  • Language : English
  • PDF File Size : 7,8 Mb

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