Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003

Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003 PDF Author: Paul C Smits
Publisher: World Scientific
ISBN: 981448234X
Category : Technology & Engineering
Languages : en
Pages : 403

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Book Description
The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users' needs and the scientific community needs to be strengthened.This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms; Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources.

Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003

Analysis Of Multi-temporal Remote Sensing Images, Proceedings Of The Second International Workshop On The Multitemp 2003 PDF Author: Paul C Smits
Publisher: World Scientific
ISBN: 981448234X
Category : Technology & Engineering
Languages : en
Pages : 403

Get Book Here

Book Description
The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users' needs and the scientific community needs to be strengthened.This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms; Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources.

Telegeoprocessing

Telegeoprocessing PDF Author: Yong Xue
Publisher: World Scientific
ISBN: 9811262195
Category : Science
Languages : en
Pages : 349

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Book Description
Telegeoprocessing is the integration of remote sensing, Geographic Information System (GIS), Global Navigation Satellite System (GNSS), Big Data and Telecommunication.This unique compendium brings together most of the key issues involved in research in novel systems in telegeoprocessing. It elucidates a comprehensive introduction to the problems encountered in telegeoprocessing engineering and the major technologies and standards related to designing an integrated, fully functional telegeoprocessing system based on the latest multimedia and telecommunication technologies.The useful cross-disciplinary reference text benefits teachers and researchers in both universities and research organizations, and for anyone keen in the impact of Earth observation, big data, geoinformatics in civil communities and human societies.

Comprehensive Remote Sensing

Comprehensive Remote Sensing PDF Author: Shunlin Liang
Publisher: Elsevier
ISBN: 0128032219
Category : Science
Languages : en
Pages : 3183

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Book Description
Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding

Image Analysis and Recognition

Image Analysis and Recognition PDF Author: Aurélio Campilho
Publisher: Springer
ISBN: 3540301267
Category : Computers
Languages : en
Pages : 888

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Book Description
ICIAR 2004, the International Conference on Image Analysis and Recognition, was the ?rst ICIAR conference, and was held in Porto, Portugal. ICIAR will be organized annually, and will alternate between Europe and North America. ICIAR 2005 will take place in Toronto, Ontario, Canada. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainly between these two countries, but also with the open participation of other countries, addressing recent advances in theory, methodology and applications. The response to the call for papers for ICIAR 2004 was very positive. From 316 full papers submitted, 210 were accepted (97 oral presentations, and 113 - sters). The review process was carried out by the Program Committee members and other reviewers; all are experts in various image analysis and recognition areas. Each paper was reviewed by at least two reviewing parties. The high q- lity of the papers in these proceedings is attributed ?rst to the authors, and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, and we wholeheartedly thank the reviewers for their excellent work in such a short amount of time. We are espe- ally indebted to the Program Committee for their e?orts that allowed us to set up this publication. We were very pleased to be able to include in the conference, Prof. Murat KuntfromtheSwissFederalInstituteofTechnology,andProf. Mario ́ Figueiredo, oftheInstitutoSuperiorT ́ ecnico,inPortugal.

Land Use and Land Cover Mapping in Europe

Land Use and Land Cover Mapping in Europe PDF Author: Ioannis Manakos
Publisher: Springer
ISBN: 9400779690
Category : Science
Languages : en
Pages : 436

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Book Description
Land use and land cover (LULC) as well as its changes (LUCC) are an interplay between bio-geophysical characteristics of the landscape and climate as well as the complex human interaction including its different patterns of utilization superimposed on the natural vegetation. LULC is a core information layer for a variety of scientific and administrative tasks(e.g. hydrological modelling, climate models, land use planning).In particular in the context of climate change with its impacts on socio-economic, socio-ecologic systems as well as ecosystem services precise information on LULC and LUCC are mandatory baseline datasets required over large areas. Remote sensing can provide such information on different levels of detail and in a homogeneous and reliable way. Hence, LULC mapping can be regarded as a prototype for integrated approaches based on spaceborne and airborne remote sensing techniques combined with field observations. The book provides for the first time a comprehensive view of various LULC activities focusing on European initiatives, such as the LUCAS surveys, the CORINE land covers, the ESA/EU GMES program and its resulting Fast-Track- and Downstream Services, the EU JRC Global Land Cover, the ESA GlobCover project as well as the ESA initiative on Essential Climate Variables. All have and are producing highly appreciated land cover products. The book will cover the operational approaches, but also review current state-of-the-art scientific methodologies and recommendations for this field. It opens the view with best-practice examples that lead to a view that exceeds pure mapping, but to investigate into drivers and causes as well as future projections.

Remote Sensing Image Fusion

Remote Sensing Image Fusion PDF Author: Luciano Alparone
Publisher: CRC Press
ISBN: 1466587504
Category : Science
Languages : en
Pages : 328

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Book Description
A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and

Multi-Sensor and Multi-Temporal Remote Sensing

Multi-Sensor and Multi-Temporal Remote Sensing PDF Author: Anil Kumar
Publisher: CRC Press
ISBN: 100087219X
Category : Computers
Languages : en
Pages : 178

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Book Description
This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields. Key features: Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classes Discusses range of fuzzy/deep learning models capable to extract specific single class and separates noise Describes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a class Supports multi-sensor and multi-temporal data processing through in-house SMIC software Includes case studies and practical applications for single class mapping This book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.

Imagin[e, G] Europe

Imagin[e, G] Europe PDF Author: EARSeL. Symposium
Publisher: IOS Press
ISBN: 1607504936
Category : Science
Languages : en
Pages : 460

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Book Description
Collects papers presented at the 29th symposium of the European Association of Remote Sensing Laboratories (EARSeL). This book covers such subjects as: earth observation, earthquake monitoring, new trends in GIS and remote sensing software packages, coasts and climate conflicts, forestry, thermal remote sensing and urban remote sensing.

Kernel Methods for Remote Sensing Data Analysis

Kernel Methods for Remote Sensing Data Analysis PDF Author: Gustau Camps-Valls
Publisher: John Wiley & Sons
ISBN: 0470749008
Category : Technology & Engineering
Languages : en
Pages : 434

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Book Description
Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.

The British National Bibliography

The British National Bibliography PDF Author: Arthur James Wells
Publisher:
ISBN:
Category : Bibliography, National
Languages : en
Pages : 2142

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Book Description