Digital Image Processing For Remote Sensing

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Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Science & Business Media
Page : 297 pages
File Size : 49,6 Mb
Release : 2013-04-17
Category : Technology & Engineering
ISBN : 9783662024621

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Remote Sensing Digital Image Analysis by John A. Richards Pdf

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.

Remote Sensing Digital Image Analysis

Author : John A. Richards
Publisher : Springer Science & Business Media
Page : 494 pages
File Size : 46,7 Mb
Release : 2012-09-13
Category : Technology & Engineering
ISBN : 9783642300622

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Remote Sensing Digital Image Analysis by John A. Richards Pdf

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

Author : John R. Jensen
Publisher : Prentice Hall
Page : 544 pages
File Size : 49,7 Mb
Release : 2015-04-17
Category : Science
ISBN : 013405816X

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Introductory Digital Image Processing by John R. Jensen Pdf

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.

Introductory Digital Image Processing

Author : John R. Jensen
Publisher : Unknown
Page : 584 pages
File Size : 49,6 Mb
Release : 2005
Category : Computers
ISBN : MINN:31951D02061825M

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Introductory Digital Image Processing by John R. Jensen Pdf

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.

Remote Sensing Image Analysis: Including the Spatial Domain

Author : Steven M. de Jong,Freek D. van der Meer
Publisher : Springer Science & Business Media
Page : 359 pages
File Size : 54,6 Mb
Release : 2007-07-26
Category : Science
ISBN : 9781402025600

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Remote Sensing Image Analysis: Including the Spatial Domain by Steven M. de Jong,Freek D. van der Meer Pdf

Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.

Digital Image Processing for Remote Sensing

Author : Ralph Bernstein
Publisher : IEEE Computer Society Press
Page : 494 pages
File Size : 46,9 Mb
Release : 1978
Category : Technology & Engineering
ISBN : WISC:89032400863

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Digital Image Processing for Remote Sensing by Ralph Bernstein Pdf

Image Processing and GIS for Remote Sensing

Author : Jian Guo Liu,Philippa J. Mason
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 42,9 Mb
Release : 2016-03-21
Category : Technology & Engineering
ISBN : 9781118724200

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Image Processing and GIS for Remote Sensing by Jian Guo Liu,Philippa J. Mason Pdf

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.

Satellite Remote Sensing

Author : Rosa Lasaponara,Nicola Masini
Publisher : Springer Science & Business Media
Page : 369 pages
File Size : 49,7 Mb
Release : 2012-01-18
Category : Technology & Engineering
ISBN : 9789048188017

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Satellite Remote Sensing by Rosa Lasaponara,Nicola Masini Pdf

This book provides a state-of-the art overview of satellite archaeology and it is an invaluable volume for archaeologists, scientists, and managers interested in using satellite Earth Observation (EO) to improve the traditional approach for archaeological investigation, protection and management of Cultural Heritage. The recent increasing development of EO techniques and the tremendous advances in Information and Communication Technologies (ICT) have resulted primarily in Cultural Heritage applications. The book focuses on new challenging prospects for the use of EO in archaeology not only for probing the subsurface to unveil sites and artifacts, but also for the management and valorization as well as for the monitoring and preservation of cultural resources. The book provides a first-class understanding of this revolutionary scenario which was unthinkable several years ago. The book offers: (i) an excellent collection of outstanding articles focusing on satellite data processing, analysis and interpretation for archaeological applications, (ii) impressive case studies, (iii) striking examples of the high potential of the integration of multi-temporal, multi-scale, multi-sensors techniques. Each chapter is composed as an authoritative contribution to help the reader grasp the value of its content. The authors are renowned experts from the international scientific community. Audience: This book will be of interest to scientists in remote sensing applied to archeology, geoarcheology, paleo-environment, paleo-climate and cultural heritage.

Image Processing for Remote Sensing

Author : C.H. Chen
Publisher : CRC Press
Page : 417 pages
File Size : 53,9 Mb
Release : 2007-10-17
Category : Technology & Engineering
ISBN : 9781420066654

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Image Processing for Remote Sensing by C.H. Chen Pdf

Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for

GNSS Remote Sensing

Author : Shuanggen Jin,Estel Cardellach,Feiqin Xie
Publisher : Springer Science & Business Media
Page : 286 pages
File Size : 54,8 Mb
Release : 2013-10-01
Category : Technology & Engineering
ISBN : 9789400774827

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GNSS Remote Sensing by Shuanggen Jin,Estel Cardellach,Feiqin Xie Pdf

The versatile and available GNSS signals can detect the Earth’s surface environments as a new, highly precise, continuous, all-weather and near-real-time remote sensing tool. This book presents the theory and methods of GNSS remote sensing as well as its applications in the atmosphere, oceans, land and hydrology. Ground-based atmospheric sensing, space-borne atmospheric sensing, reflectometry, ocean remote sensing, hydrology sensing as well as cryosphere sensing with the GNSS will be discussed per chapter in the book.

Computer Processing of Remotely-Sensed Images

Author : Paul M. Mather
Publisher : John Wiley & Sons
Page : 442 pages
File Size : 45,7 Mb
Release : 2005-12-13
Category : Science
ISBN : 9780470021019

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Computer Processing of Remotely-Sensed Images by Paul M. Mather Pdf

Remotely-sensed images of the Earth's surface provide a valuable source of information about the geographical distribution and properties of natural and cultural features. This fully revised and updated edition of a highly regarded textbook deals with the mechanics of processing remotely-senses images. Presented in an accessible manner, the book covers a wide range of image processing and pattern recognition techniques. Features include: New topics on LiDAR data processing, SAR interferometry, the analysis of imaging spectrometer image sets and the use of the wavelet transform. An accompanying CD-ROM with: updated MIPS software, including modules for standard procedures such as image display, filtering, image transforms, graph plotting, import of data from a range of sensors. A set of exercises, including data sets, illustrating the application of discussed methods using the MIPS software. An extensive list of WWW resources including colour illustrations for easy download. For further information, including exercises and latest software information visit the Author's Website at: http://homepage.ntlworld.com/paul.mather/ComputerProcessing3/

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Author : Pramod K. Varshney,Manoj K. Arora
Publisher : Springer Science & Business Media
Page : 344 pages
File Size : 40,9 Mb
Release : 2004-08-12
Category : Computers
ISBN : 3540216685

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Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by Pramod K. Varshney,Manoj K. Arora Pdf

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.

Radar Remote Sensing of Urban Areas

Author : Uwe Soergel
Publisher : Springer Science & Business Media
Page : 287 pages
File Size : 47,6 Mb
Release : 2010-03-10
Category : Science
ISBN : 9789048137510

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Radar Remote Sensing of Urban Areas by Uwe Soergel Pdf

One of the key milestones of radar remote sensing for civil applications was the launch of the European Remote Sensing Satellite 1 (ERS 1) in 1991. The platform carried a variety of sensors; the Synthetic Aperture Radar (SAR) is widely cons- ered to be the most important. This active sensing technique provides all-day and all-weather mapping capability of considerably ?ne spatial resolution. ERS 1 and its sister system ERS 2 (launch 1995) were primarily designed for ocean app- cations, but soon the focus of attention turned to onshore mapping. Examples for typical applications are land cover classi?cation also in tropical zones and mo- toring of glaciers or urban growth. In parallel, international Space Shuttle Missions dedicated to radar remote sensing were conducted starting already in the 1980s. The most prominent were the SIR-C/X-SAR mission focussing on the investigation of multi-frequency and multi-polarization SAR data and the famous Shuttle Radar Topography Mission (SRTM). Data acquired during the latter enabled to derive a DEM of almost global coverage by means of SAR Interferometry. It is indispe- ableeventodayandformanyregionsthebestelevationmodelavailable. Differential SAR Interferometry based on time series of imagery of the ERS satellites and their successor Envisat became an important and unique technique for surface defor- tion monitoring. The spatial resolution of those devices is in the order of some tens of meters.

Remote Sensing

Author : Robert A. Schowengerdt
Publisher : Elsevier
Page : 585 pages
File Size : 44,5 Mb
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 9780080516103

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Remote Sensing by Robert A. Schowengerdt Pdf

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.

Remote Sensing Time Series Image Processing

Author : Qihao Weng
Publisher : CRC Press
Page : 246 pages
File Size : 42,6 Mb
Release : 2018-04-17
Category : Science
ISBN : 9781351680561

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Remote Sensing Time Series Image Processing by Qihao Weng Pdf

Today, remote sensing technology is an essential tool for understanding the Earth and managing human-Earth interactions. There is a rapidly growing need for remote sensing and Earth observation technology that enables monitoring of world’s natural resources and environments, managing exposure to natural and man-made risks and more frequently occurring disasters, and helping the sustainability and productivity of natural and human ecosystems. The improvement in temporal resolution/revisit allows for the large accumulation of images for a specific location, creating a possibility for time series image analysis and eventual real-time assessments of scene dynamics. As an authoritative text, Remote Sensing Time Series Image Processing brings together active and recognized authors in the field of time series image analysis and presents to the readers the current state of knowledge and its future directions. Divided into three parts, the first addresses methods and techniques for generating time series image datasets. In particular, it provides guidance on the selection of cloud and cloud shadow detection algorithms for various applications. Part II examines feature development and information extraction methods for time series imagery. It presents some key remote sensing-based metrics, and their major applications in ecosystems and climate change studies. Part III illustrates various applications of time series image processing in land cover change, disturbance attribution, vegetation dynamics, and urbanization. This book is intended for researchers, practitioners, and students in both remote sensing and imaging science. It can be used as a textbook by undergraduate and graduate students majoring in remote sensing, imaging science, civil and electrical engineering, geography, geosciences, planning, environmental science, land use, energy, and GIS, and as a reference book by practitioners and professionals in the government, commercial, and industrial sectors.