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Image of - Image Processing and GIS for Remote Sensing | 2nd Edition | Hardcover
Image Processing and GIS for Remote Sensing | 2nd Edition | Hardcover

Image Processing and GIS for Remote Sensing | 2nd Edition | Hardcover

by Liu

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.

Highlights

  • binding-icon

    9781118724200

    ISBN:

  • binding-icon

    Liu

    Author:

  • binding-icon

    472

    Pages:

  • binding-icon

    1180 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2016

    Year:

  • edition-icon

    2nd Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

8282

10353

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.

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