Advances In Remote Sensing Retrieval Methods
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Advances In Remote Sensing Retrieval Methods
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Author : Adarsh Deepak
language : en
Publisher:
Release Date : 1985
Advances In Remote Sensing Retrieval Methods written by Adarsh Deepak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
CONTENTS: Remote Sensing by Tomographic Techniques; Remote Sensing by Geometric Methods; Retrieval Methodologies; Multidimensional and Other New Techniques; Artificial Intelligence Methods, Pattern Recognition, and Classification; Intercomparisons of Retrieval Methods; and Data Compaction and Management Techniques.
Advances In Remote Sensing Retrieval Methods
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Author : Adarsh Deepak
language : en
Publisher:
Release Date : 1985
Advances In Remote Sensing Retrieval Methods written by Adarsh Deepak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Remote sensing categories.
Advances In Remote Sensing Retrieval Methods
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Author : Adarsh Deepak
language : en
Publisher:
Release Date : 1989
Advances In Remote Sensing Retrieval Methods written by Adarsh Deepak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.
Rsrm 87
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Author : Adarsh Deepak
language : en
Publisher:
Release Date : 1989
Rsrm 87 written by Adarsh Deepak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Technology & Engineering categories.
Advances In Land Remote Sensing
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Author : Shunlin Liang
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-03-11
Advances In Land Remote Sensing written by Shunlin Liang 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 2008-03-11 with Technology & Engineering categories.
It collects the review papers of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS). It systematically summarizes the past achievements and identifies the frontier issues as the research agenda for the near future. It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications.
Advances In Environmental Remote Sensing
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Author : Qihao Weng
language : en
Publisher: CRC Press
Release Date : 2011-02-16
Advances In Environmental Remote Sensing written by Qihao Weng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-16 with Technology & Engineering categories.
Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst's e
Advanced Remote Sensing
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Author : Shunlin Liang
language : en
Publisher: Academic Press
Release Date : 2012-08-17
Advanced Remote Sensing written by Shunlin Liang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-17 with Science categories.
Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation. Comprehensive overview of various practical methods and algorithms Detailed description of the principles and procedures of the state-of-the-art algorithms Real-world case studies open several chapters More than 500 full-color figures and tables Edited by top remote sensing experts with contributions from authors across the geosciences
Advances In Mapping From Remote Sensor Imagery
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Author : Xiaojun Yang
language : en
Publisher: CRC Press
Release Date : 2012-12-12
Advances In Mapping From Remote Sensor Imagery written by Xiaojun Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-12 with Technology & Engineering categories.
Advances in Mapping from Remote Sensor Imagery: Techniques and Applications reviews some of the latest developments in remote sensing and information extraction techniques applicable to topographic and thematic mapping. Providing an interdisciplinary perspective, leading experts from around the world have contributed chapters examining state-of-the-art techniques as well as widely used methods. The book covers a broad range of topics including photogrammetric mapping and LiDAR remote sensing for generating high quality topographic products, global digital elevation models, current methods for shoreline mapping, and the identification and classification of residential buildings. Contributors also showcase cutting-edge developments for environmental and ecological mapping, including assessment of urbanization patterns, mapping vegetation cover, monitoring invasive species, and mapping marine oil spills—crucial for monitoring this significant environmental hazard. The authors exemplify the information presented in this text with case studies from around the world. Examples include: Envisat/ERS-2 images used to generate digital elevation models over northern Alaska In situ radiometric observations and MERIS images employed to retrieve chlorophyll a concentration in inland waters in Australia ERS-1/2 SAR images utilized to map spatiotemporal deformation in the southwestern United States Aerospace sensors and related information extraction techniques that support various mapping applications have recently garnered more attention due to the advances in remote sensing theories and technologies. This book brings together top researchers in the field, providing a state-of-the-art review of some of the latest advancements in remote sensing and mapping technologies.
Advances In Remote Sensing And Gis Analysis
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Author : Peter M. Atkinson
language : en
Publisher: John Wiley & Sons
Release Date : 1999-09-09
Advances In Remote Sensing And Gis Analysis written by Peter M. Atkinson 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 1999-09-09 with Science categories.
An authoritative and state-of-the-art book bringing together some of the most recent developments in remote sensing and GIS analysis with a particular emphasis on mathematical techniques and their applications. With contributions from academia, industry and research institutes, all with a high standing, this book covers a range of techniques including: fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization, texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling. This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments, and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases, the mathematical basis is fully explained.
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.