Fifth Recent Advances In Quantitative Remote Sensing
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Fifth Recent Advances In Quantitative Remote Sensing
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Author : José Antonio Sobrino Rodríguez
language : en
Publisher: Universitat de València
Release Date : 2018-12-14
Fifth Recent Advances In Quantitative Remote Sensing written by José Antonio Sobrino Rodríguez and has been published by Universitat de València this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Science categories.
The Fifth International Symposium on Recent Advances in Quantitative Remote Sensing was held in Torrent, Spain from 18 to 22 September 2018. It was sponsored and organized by the Global Change Unit (GCU) from the Image Processing Laboratory (IPL), University of Valencia (UVEG), Spain. This Symposium addressed the scientific advances in quantitative remote sensing in connection with real applications. Its main goal was to assess the state of the art of both theory and applications in the analysis of remote sensing data, as well as to provide a forum for researcher in this subject area to exchange views and report their latest results. In this book 89 of the 262 contributions presented in both plenary and poster sessions are arranged according to the scientific topics selected. The papers are ranked in the same order as the final programme.
6th International Symposium Recent Advances In Quantitative Remote Sensing
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Author :
language : en
Publisher:
Release Date : 2022
6th International Symposium Recent Advances In Quantitative Remote Sensing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Recent Advances In Quantitative Remote Sensing
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Author : José Antonio Sobrino Rodríguez
language : en
Publisher: Publicacions de la Universitat de València
Release Date : 2002
Recent Advances In Quantitative Remote Sensing written by José Antonio Sobrino Rodríguez and has been published by Publicacions de la Universitat de València this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Remote sensing categories.
Recent Advances In Quantitative Remote Sensing
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Author : José A. Sobrino
language : en
Publisher: Universitat de València
Release Date : 2002
Recent Advances In Quantitative Remote Sensing written by José A. Sobrino and has been published by Universitat de València this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Science categories.
Recent Advances And Applications In Remote Sensing
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Author : Ming Hung
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-07-25
Recent Advances And Applications In Remote Sensing written by Ming Hung and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-25 with Technology & Engineering categories.
Remote sensing was the primary data source since the launch of the first environmental monitoring satellite back in 1972. In the past five decades, remote sensing technology has come a long way and evolved into a mature science. Even so, new technologies, new theories, new methodologies, and new applications continue to emerge. With the rapid pace of technological advancement, it is essential to share experiences especially between different disciplines, either on breakthroughs in new theory or understanding, or applications of remote sensing on real world issues. Disciplines or fields covered in this book include geography, geology, agriculture, forestry, botany, and oceanography. Though remote sensing may be used differently in various disciplines, the principles are similar, if not the same. This book will be valuable to scientists, scholars, working professionals, or students who use remote sensing in their work, and are interested in learning how others use remote sensing in different ways.
Quantitative Remote Sensing Of Land Surfaces
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Author : Shunlin Liang
language : en
Publisher: John Wiley & Sons
Release Date : 2003-12-12
Quantitative Remote Sensing Of Land Surfaces written by Shunlin Liang 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 2003-12-12 with Technology & Engineering categories.
Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations. A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations. Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation
Remote Sensing
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Author : Philip H. Swain
language : en
Publisher:
Release Date : 1978
Remote Sensing written by Philip H. Swain and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Technology & Engineering categories.
The quantitative approach: concep and rationale. Radiation and instrumentation in remote sensing. Fundamentals of pattern recognition in remote sensing. Data processing methods and systems. Biological and physical considerations in applying computer-aided analysis techniques to remote sensor data. Applying the quantitative approach. Useful information from multispectral image data: another look.
Quantitative Remote Sensing In Thermal Infrared
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Author : Huajun Tang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-25
Quantitative Remote Sensing In Thermal Infrared written by Huajun Tang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-25 with Technology & Engineering categories.
This book provides a comprehensive and advanced overview of the basic theory of thermal remote sensing and its application in hydrology, agriculture, and forestry. Specifically, the book highlights the main theory, assumptions, advantages, drawbacks, and perspectives of these methods for the retrieval and validation of surface temperature/emissivity and evapotranspiration from thermal infrared remote sensing. It will be an especially valuable resource for students, researchers, experts, and decision-makers whose interest focuses on the retrieval and validation of surface temperature/emissivity, the estimation and validation of evapotranspiration at satellite pixel scale, and the application of thermal remote sensing. Both Prof. Huajun Tang and Prof. Zhao-Liang Li work at the Chinese Academy of Agricultural Sciences (CAAS), China.
Recent Advances And Applications In Remote Sensing
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Author : Ming-Chih Hung
language : en
Publisher:
Release Date : 2018
Recent Advances And Applications In Remote Sensing written by Ming-Chih Hung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Geography (General) categories.
Remote sensing was the primary data source since the launch of the first environmental monitoring satellite back in 1972. In the past five decades, remote sensing technology has come a long way and evolved into a mature science. Even so, new technologies, new theories, new methodologies, and new applications continue to emerge. With the rapid pace of technological advancement, it is essential to share experiences especially between different disciplines, either on breakthroughs in new theory or understanding, or applications of remote sensing on real world issues. Disciplines or fields covered in this book include geography, geology, agriculture, forestry, botany, and oceanography. Though remote sensing may be used differently in various disciplines, the principles are similar, if not the same. This book will be valuable to scientists, scholars, working professionals, or students who use remote sensing in their work, and are interested in learning how others use remote sensing in different ways.
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.