Multitemporal Remote Sensing
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Multitemporal Remote Sensing
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Author : Yifang Ban
language : en
Publisher: Springer
Release Date : 2016-12-01
Multitemporal Remote Sensing written by Yifang Ban and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Technology & Engineering categories.
Written by world renowned scientists, this book provides an excellent overview of a wide array of methods and techniques for the processing and analysis of multitemporal remotely sensed images. These methods and techniques include change detection, multitemporal data fusion, coarse-resolution time series processing, and interferometric SAR multitemporal processing, among others. A broad range of multitemporal datasets are used in their methodology demonstrations and application examples, including multispectral, hyperspectral, SAR and passive microwave data. This book features a variety of application examples covering both land and aquatic environments. Land applications include urban, agriculture, habitat disturbance, vegetation dynamics, soil moisture, land surface albedo, land surface temperature, glacier and disaster recovery. Aquatic applications include monitoring water quality, water surface areas and water fluctuation in wetland areas, spatial distribution patterns and temporal fluctuation trends of global land surface water, as well as evaluation of water quality in several coastal and marine environments. This book will help scientists, practitioners, students gain a greater understanding of how multitemporal remote sensing could be effectively used to monitor our changing planet at local, regional, and global scales.
Analysis Of Multi Temporal Remote Sensing Images Proceedings Of The First International Workshop On Multitemp 2001
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Author : Lorenzo Bruzzone
language : en
Publisher: World Scientific
Release Date : 2002-07-12
Analysis Of Multi Temporal Remote Sensing Images Proceedings Of The First International Workshop On Multitemp 2001 written by Lorenzo Bruzzone and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-07-12 with Technology & Engineering categories.
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 next few years. The relevance and timeliness of this issue 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.This book brings together the methodological aspects of multi-temporal remote sensing image analysis, real applications and end-user requirements, presenting the state of the art in this field and contributing to the definition of common research priorities. Researchers and graduate students in the fields of remote sensing, image analysis, and environmental monitoring will appreciate the interdisciplinary approach thanks to the articles written by experts from different scientific communities.
Analysis Of Multi Temporal Remote Sensing Images Proceedings Of The Second International Workshop On The Multitemp 2003
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Author : Paul C Smits
language : en
Publisher: World Scientific
Release Date : 2004-08-10
Analysis Of Multi Temporal Remote Sensing Images Proceedings Of The Second International Workshop On The Multitemp 2003 written by Paul C Smits and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-10 with Technology & Engineering categories.
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 Multitemporal Remote Sensing Images
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Author : L. Bruzzone
language : en
Publisher:
Release Date : 2003
Analysis Of Multitemporal Remote Sensing Images written by L. Bruzzone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
2015 8th International Workshop On The Analysis Of Multitemporal Remote Sensing Images Multi Temp 2015
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Author :
language : en
Publisher:
Release Date : 2015
2015 8th International Workshop On The Analysis Of Multitemporal Remote Sensing Images Multi Temp 2015 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
2019 10th International Workshop On The Analysis Of Multitemporal Remote Sensing Images Multitemp
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Author :
language : en
Publisher:
Release Date : 2019
2019 10th International Workshop On The Analysis Of Multitemporal Remote Sensing Images Multitemp written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Comprehensive Remote Sensing
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Author : Shunlin Liang
language : en
Publisher: Elsevier
Release Date : 2017-11-08
Comprehensive Remote Sensing written by Shunlin Liang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-08 with Science categories.
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
Multitemporal Earth Observation Image Analysis
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Author : Clément Mallet
language : en
Publisher: John Wiley & Sons
Release Date : 2024-08-20
Multitemporal Earth Observation Image Analysis written by Clément Mallet and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-20 with Technology & Engineering categories.
Earth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies. Multitemporal Earth Observation Image Analysis provides illustrations of recent methodological advances in data processing and information extraction from imagery, with an emphasis on the temporal dimension uncovered either by recent satellite constellations (in particular the Sentinels from the European Copernicus programme) or archival aerial images available in national archives. The book shows how complementary data sources can be efficiently used, how spatial and temporal information can be leveraged for biophysical parameter estimation, classification of land surfaces and object tracking, as well as how standard machine learning and state-of-the-art deep learning solutions can solve complex problems with real-world applications.
2015 8th International Workshop On The Analysis Of Multitemporal Remote Sensing Images Multi Temp
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2015-07-22
2015 8th International Workshop On The Analysis Of Multitemporal Remote Sensing Images Multi Temp written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-22 with categories.
Promote discussion of scientific, methodological and application issues related to multitemporal data analysis Push novel solutions for technical problems related to multitemporal data, promote their use in an increasing number of applications
Kernel Methods For Remote Sensing Data Analysis
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Author : Gustau Camps-Valls
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-03
Kernel Methods For Remote Sensing Data Analysis written by Gustau Camps-Valls and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-03 with Technology & Engineering categories.
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.