Essential Image Processing And Gis For Remote Sensing
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| Author | : Jian Guo Liu |
| Publisher | : John Wiley & Sons |
| Total Pages | : 484 |
| Release | : 2016-03-21 |
| Genre | : Technology & Engineering |
| ISBN | : 1118724208 |
Download Image Processing and GIS for Remote Sensing Book in PDF, Epub and Kindle
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.
| Author | : Jian Guo Liu |
| Publisher | : John Wiley & Sons |
| Total Pages | : 572 |
| Release | : 2013-04-10 |
| Genre | : Technology & Engineering |
| ISBN | : 1118687973 |
Download Essential Image Processing and GIS for Remote Sensing Book in PDF, Epub and Kindle
Essential Image Processing and GIS for Remote Sensing is an accessible overview of the subject and successfully draws together these three key areas in a balanced and comprehensive manner. The book provides an overview of essential techniques and a selection of key case studies in a variety of application areas. Key concepts and ideas are introduced in a clear and logical manner and described through the provision of numerous relevant conceptual illustrations. Mathematical detail is kept to a minimum and only referred to where necessary for ease of understanding. Such concepts are explained through common sense terms rather than in rigorous mathematical detail when explaining image processing and GIS techniques, to enable students to grasp the essentials of a notoriously challenging subject area. The book is clearly divided into three parts, with the first part introducing essential image processing techniques for remote sensing. The second part looks at GIS and begins with an overview of the concepts, structures and mechanisms by which GIS operates. Finally the third part introduces Remote Sensing Applications. Throughout the book the relationships between GIS, Image Processing and Remote Sensing are clearly identified to ensure that students are able to apply the various techniques that have been covered appropriately. The latter chapters use numerous relevant case studies to illustrate various remote sensing, image processing and GIS applications in practice.
| Author | : Jian Guo Liu |
| Publisher | : John Wiley & Sons |
| Total Pages | : 472 |
| Release | : 2016-01-04 |
| Genre | : Technology & Engineering |
| ISBN | : 1118724186 |
Download Image Processing and GIS for Remote Sensing Book in PDF, Epub and Kindle
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.
| Author | : John A. Richards |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 297 |
| Release | : 2013-04-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3662024624 |
Download Remote Sensing Digital Image Analysis Book in PDF, Epub and Kindle
With the widespread availability of satellite and aircraft remote sensing image data in digital form, and the ready access most remote sensing practitioners have to computing systems for image interpretation, there is a need to draw together the range of digital image processing procedures and methodologies commonly used in this field into a single treatment. It is the intention of this book to provide such a function, at a level meaningful to the non-specialist digital image analyst, but in sufficient detail that algorithm limitations, alternative procedures and current trends can be appreciated. Often the applications specialist in remote sensing wishing to make use of digital processing procedures has had to depend upon either the mathematically detailed treatments of image processing found in the electrical engineering and computer science literature, or the sometimes necessarily superficial treatments given in general texts on remote sensing. This book seeks to redress that situation. Both image enhancement and classification techniques are covered making the material relevant in those applications in which photointerpretation is used for information extraction and in those wherein information is obtained by classification.
| Author | : Gottfried Konecny |
| Publisher | : CRC Press |
| Total Pages | : 452 |
| Release | : 2014-04-23 |
| Genre | : Science |
| ISBN | : 1482232138 |
Download Geoinformation Book in PDF, Epub and Kindle
Written by a renowned expert, Geoinformation: Remote Sensing, Photogrammetry and Geographic Information Systems, Second Edition gives you an overarching view of how remote sensing, photogrammetry, and geographic information systems work together in an interdisciplinary manner. The book presents the required basic background of the geoinformatics co
| Author | : Qihao Weng |
| Publisher | : CRC Press |
| Total Pages | : 264 |
| Release | : 2020-06-30 |
| Genre | : |
| ISBN | : 9780367571795 |
Download Remote Sensing Time Series Image Processing Book in PDF, Epub and Kindle
This book explores the current state of knowledge on remote sensing time series image processing and addresses all major aspects and components of time series image analysis with ample examples and applications.
| Author | : Ralph Bernstein |
| Publisher | : IEEE Computer Society Press |
| Total Pages | : 492 |
| Release | : 1978 |
| Genre | : Technology & Engineering |
| ISBN | : |
Download Digital Image Processing for Remote Sensing Book in PDF, Epub and Kindle
| Author | : Robert A. Schowengerdt |
| Publisher | : Elsevier |
| Total Pages | : 585 |
| Release | : 2012-12-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0080516106 |
Download Remote Sensing Book in PDF, Epub and Kindle
This book is a completely updated, greatly expanded version of the previously successful volume by the author. The Second Edition includes new results and data, and discusses a unified framework and rationale for designing and evaluating image processing algorithms. Written from the viewpoint that image processing supports remote sensing science, this book describes physical models for remote sensing phenomenology and sensors and how they contribute to models for remote-sensing data. The text then presents image processing techniques and interprets them in terms of these models. Spectral, spatial, and geometric models are used to introduce advanced image processing techniques such as hyperspectral image analysis, fusion of multisensor images, and digital elevationmodel extraction from stereo imagery. The material is suited for graduate level engineering, physical and natural science courses, or practicing remote sensing scientists. Each chapter is enhanced by student exercises designed to stimulate an understanding of the material. Over 300 figuresare produced specifically for this book, and numerous tables provide a rich bibliography of the research literature.
| Author | : Pramod K. Varshney |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 344 |
| Release | : 2004-08-12 |
| Genre | : Computers |
| ISBN | : 9783540216681 |
Download Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data Book in PDF, Epub and Kindle
The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.
| Author | : Robert A. Schowengerdt |
| Publisher | : Academic Press |
| Total Pages | : 270 |
| Release | : 2012-12-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0323138551 |
Download Techniques for Image Processing and Classifications in Remote Sensing Book in PDF, Epub and Kindle
Techniques for Image Processing and Classifications in Remote Sensing provides an introduction to the fundamentals of computer image processing and classification (commonly called ""pattern recognition"" in other applications). The book begins with a discussion of digital scanners and imagery, and two key mathematical concepts for image processing and classification—spatial filtering and statistical pattern recognition. This is followed by separate chapters on image processing and classification techniques that are widely used in the remote sensing community. The emphasis throughout is on techniques that assist in the analysis of images, not particular applications of these techniques. The book also has four appendixes, featuring a bibliography; an introduction to computer binary data representation and image data formats; a discussion of interactive image processing; and a selection of exam questions from the Image Processing Laboratory course at the University of Arizona. This book is intended for use as either a primary source in an introductory image processing course or as a supplementary text in an intermediate-level remote sensing course. The academic level addressed is upper-division undergraduate or beginning graduate, and familiarity with calculus and basic vector and matrix concepts is assumed.
