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Digital Image Processing for Remote Sensing

Digital Image Processing for Remote Sensing PDF Author: Ralph Bernstein
Publisher: IEEE Computer Society Press
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 492

Book Description


Digital Image Processing for Remote Sensing

Digital Image Processing for Remote Sensing PDF Author: Ralph Bernstein
Publisher: IEEE Computer Society Press
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 492

Book Description


Remote Sensing Digital Image Analysis

Remote Sensing Digital Image Analysis PDF Author: John A. Richards
Publisher: Springer Science & Business Media
ISBN: 3642300626
Category : Technology & Engineering
Languages : en
Pages : 494

Book Description
Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same. This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter.

Introductory Digital Image Processing

Introductory Digital Image Processing PDF Author: John R. Jensen
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 582

Book Description
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. This revision of Introductory Digital Image Processing: A Remote Sensing Perspective continues to focus on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.

Introductory Remote Sensing

Introductory Remote Sensing PDF Author: Paul Jude Gibson
Publisher: Psychology Press
ISBN: 9780415189620
Category : Science
Languages : en
Pages : 294

Book Description
This package explains how digital images can be processed and offers hands-on experience of image processing. It explains how digital images can be processed to maximise information output and discusses a range of environmental monitoring techniques.

Digital Image Processing for Remote Sensing

Digital Image Processing for Remote Sensing PDF Author: Ralph Bernstein
Publisher: IEEE Computer Society Press
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 488

Book Description


Introductory Digital Image Processing

Introductory Digital Image Processing PDF Author: John R. Jensen
Publisher: Prentice Hall
ISBN: 9780134058160
Category : Science
Languages : en
Pages : 544

Book Description
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Pearson Series Geographic Information Science. Now in full color, the Fourth Edition provides up-to-date information on analytical methods used to analyze digital remote sensing data. Each chapter contains a substantive reference list that can be used by students and scientists as a starting place for their digital image processing project or research. A new appendix provides sources of imagery and other geospatial information.

Digital Image Processing of Remotely Sensed Data

Digital Image Processing of Remotely Sensed Data PDF Author: R.M. Hord
Publisher: Elsevier
ISBN: 0323162355
Category : Science
Languages : en
Pages : 270

Book Description
Digital Image Processing of Remotely Sensed Data presents a practical approach to digital image processing of remotely sensed data, with emphasis on application examples and algorithms. It explains where to get the data and what is available and what preprocessing is needed to prepare the imagery for processing. Research topics are described to indicate the limitations of computer methods. This book is comprised of seven chapters and begins with a summary of basic concepts used in remote sensing and digital imagery, followed by a discussion on sources of remotely sensed data. Two essential hardware ingredients in a digital image processing system, a computer and a display device, are then considered, along with the algorithms used in digital image processing. Examples of how digital image processing algorithms have been applied to real imagery for specific objectives are given, including the Kentucky water impoundment experiment and the land-use mapping initiative in Washington, D.C. The next section is devoted to research topics such as digital image shape detection; edge detection and regionalized terrain classification from satellite photography; and digital image enhancement for maximum interpretability using linear programming. This monograph will be of value to professional regional planners, natural resource managers, and others in fields ranging from hydrology and forestry to agronomy and geology.

Digital Image Processing in Remote Sensing

Digital Image Processing in Remote Sensing PDF Author: Jan-Peter Muller
Publisher: Taylor & Francis Group
ISBN:
Category : Computers
Languages : en
Pages : 304

Book Description


Signal and Image Processing for Remote Sensing

Signal and Image Processing for Remote Sensing PDF Author: C.H. Chen
Publisher: CRC Press
ISBN: 1420003135
Category : Technology & Engineering
Languages : en
Pages : 691

Book Description
Most data from satellites are in image form, thus most books in the remote sensing field deal exclusively with image processing. However, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. Pioneering the combination of the two processes, Signal and Image Processing for Re

Image Processing and GIS for Remote Sensing

Image Processing and GIS for Remote Sensing PDF Author: Jian Guo Liu
Publisher: John Wiley & Sons
ISBN: 1118724186
Category : Technology & Engineering
Languages : en
Pages : 472

Book Description
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.