Data Fusion Approach To Improve Forest Cover Classification Using Sar Imagery

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Author : Ni-Bin Chang
Publisher : CRC Press
ISBN 13 : 1498774342
Total Pages : 508 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing by : Ni-Bin Chang

Download or read book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing written by Ni-Bin Chang and published by CRC Press. This book was released on 2018-02-21 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

Introduction to Microwave Remote Sensing

Author : Iain H. Woodhouse
Publisher : CRC Press
ISBN 13 : 1351988557
Total Pages : 321 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Introduction to Microwave Remote Sensing by : Iain H. Woodhouse

Download or read book Introduction to Microwave Remote Sensing written by Iain H. Woodhouse and published by CRC Press. This book was released on 2017-07-12 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Microwave Remote Sensing offers an extensive overview of this versatile and extremely precise technology for technically oriented undergraduates and graduate students. This textbook emphasizes an important shift in conceptualization and directs it toward students with prior knowledge of optical remote sensing: the author dispels any linkage between microwave and optical remote sensing. Instead, he constructs the concept of microwave remote sensing by comparing it to the process of audio perception, explaining the workings of the ear as a metaphor for microwave instrumentation. This volume takes an “application-driven” approach. Instead of describing the technology and then its uses, this textbook justifies the need for measurement then explains how microwave technology addresses this need. Following a brief summary of the field and a history of the use of microwaves, the book explores the physical properties of microwaves and the polarimetric properties of electromagnetic waves. It examines the interaction of microwaves with matter, analyzes passive atmospheric and passive surface measurements, and describes the operation of altimeters and scatterometers. The textbook concludes by explaining how high resolution images are created using radars, and how techniques of interferometry can be applied to both passive and active sensors.

Spaceborne Synthetic Aperture Radar Remote Sensing

Author : Shashi Kumar
Publisher : CRC Press
ISBN 13 : 1000803163
Total Pages : 433 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Spaceborne Synthetic Aperture Radar Remote Sensing by : Shashi Kumar

Download or read book Spaceborne Synthetic Aperture Radar Remote Sensing written by Shashi Kumar and published by CRC Press. This book was released on 2023-03-31 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides basic and advanced concepts of synthetic aperture radar (SAR), PolSAR, InSAR, PolInSAR, and all necessary information about various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place. It will help readers to use active microwave imaging sensor-based information in geospatial technology and applications. This book: Covers basic and advanced concepts of synthetic aperture radar (SAR) remote sensing Introduces spaceborne SAR sensors Discusses applications of SAR remote sensing in earth observation Explores utilization of SAR data for solid earth, ecosystem, and cryosphere, including imaging of extra-terrestrial bodies Includes PolSAR and PolInSAR for aboveground forest biomass retrieval, as well as InSAR and PolSAR for snow parameters retrieval This book is aimed at researchers and graduate students in remote sensing, photogrammetry, geoscience, image processing, agriculture, environment, forestry, and image processing.

Data Fusion in Robotics & Machine Intelligence

Author : Bozzano G Luisa
Publisher : Academic Press
ISBN 13 : 0323138357
Total Pages : 559 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Data Fusion in Robotics & Machine Intelligence by : Bozzano G Luisa

Download or read book Data Fusion in Robotics & Machine Intelligence written by Bozzano G Luisa and published by Academic Press. This book was released on 1992-10-12 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the techniques for modeling and integration of data provided by different sensors within robotics and knowledge sources within machine intelligence. Leaders in robotics and machine intelligence capture state-of-the-art technology in data sensor fusion and give a unified vision of the future of the field, presented from both the theoretical and practical angles.

Advances in Geoscience and Remote Sensing

Author : Gary Jedlovec
Publisher : IntechOpen
ISBN 13 : 9789533070056
Total Pages : 754 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Advances in Geoscience and Remote Sensing by : Gary Jedlovec

Download or read book Advances in Geoscience and Remote Sensing written by Gary Jedlovec and published by IntechOpen. This book was released on 2009-10-01 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing is the acquisition of information of an object or phenomenon, by the use of either recording or real-time sensing device(s), that is not in physical or intimate contact with the object (such as by way of aircraft, spacecraft, satellite, buoy, or ship). In practice, remote sensing is the stand-off collection through the use of a variety of devices for gathering information on a given object or area. Human existence is dependent on our ability to understand, utilize, manage and maintain the environment we live in - Geoscience is the science that seeks to achieve these goals. This book is a collection of contributions from world-class scientists, engineers and educators engaged in the fields of geoscience and remote sensing.

Remote Sensing Image Fusion

Author : Christine Pohl
Publisher : CRC Press
ISBN 13 : 1315353067
Total Pages : 283 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Remote Sensing Image Fusion by : Christine Pohl

Download or read book Remote Sensing Image Fusion written by Christine Pohl and published by CRC Press. This book was released on 2016-10-03 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a diverse selection of successful image fusion cases that are relevant to other users and other areas of interest around the world.?The book helps newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain an overview on the state of the art and understand current constraints that need to be solved in future research efforts. For industry professionals the book can be a great introduction and basis to understand multisensor remote sensing image exploitation and the development of commercialized image fusion software from a practical perspective. The book concludes with a chapter on current trends and future developments in remote sensing image fusion. Along with the book, RSIF website provides additional up-to-date information in the field.

Vegetation Monitoring

Author : Caryl L. Elzinga
Publisher : DIANE Publishing
ISBN 13 : 9780788148378
Total Pages : 190 pages
Book Rating : 4.1/5 (483 download)

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Book Synopsis Vegetation Monitoring by : Caryl L. Elzinga

Download or read book Vegetation Monitoring written by Caryl L. Elzinga and published by DIANE Publishing. This book was released on 1998-05 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This annotated bibliography documents literature addressing the design and implementation of vegetation monitoring. It provides resources managers, ecologists, and scientists access to the great volume of literature addressing many aspects of vegetation monitoring: planning and objective setting, choosing vegetation attributes to measure, sampling design, sampling methods, statistical and graphical analysis, and communication of results. Over half of the 1400 references have been annotated. Keywords pertaining to the type of monitoring or method are included with each bibliographic entry. Keyword index.

Advances in Geoscience and Remote Sensing

Author : Gary Jedlovec
Publisher : BoD – Books on Demand
ISBN 13 : 9533070056
Total Pages : 756 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Advances in Geoscience and Remote Sensing by : Gary Jedlovec

Download or read book Advances in Geoscience and Remote Sensing written by Gary Jedlovec and published by BoD – Books on Demand. This book was released on 2009-10-01 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote sensing is the acquisition of information of an object or phenomenon, by the use of either recording or real-time sensing device(s), that is not in physical or intimate contact with the object (such as by way of aircraft, spacecraft, satellite, buoy, or ship). In practice, remote sensing is the stand-off collection through the use of a variety of devices for gathering information on a given object or area. Human existence is dependent on our ability to understand, utilize, manage and maintain the environment we live in - Geoscience is the science that seeks to achieve these goals. This book is a collection of contributions from world-class scientists, engineers and educators engaged in the fields of geoscience and remote sensing.

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Author : Anil Kumar
Publisher : CRC Press
ISBN 13 : 1000091546
Total Pages : 193 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification by : Anil Kumar

Download or read book Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification written by Anil Kumar and published by CRC Press. This book was released on 2020-07-19 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to: exclusive focus on using large range of fuzzy classification algorithms for remote sensing images; discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images; describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms; explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and; combines explanation of the algorithms with case studies and practical applications.

Object-Based Image Analysis

Author : Thomas Blaschke
Publisher : Springer Science & Business Media
ISBN 13 : 3540770585
Total Pages : 804 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Object-Based Image Analysis by : Thomas Blaschke

Download or read book Object-Based Image Analysis written by Thomas Blaschke and published by Springer Science & Business Media. This book was released on 2008-08-09 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together a collection of invited interdisciplinary persp- tives on the recent topic of Object-based Image Analysis (OBIA). Its c- st tent is based on select papers from the 1 OBIA International Conference held in Salzburg in July 2006, and is enriched by several invited chapters. All submissions have passed through a blind peer-review process resulting in what we believe is a timely volume of the highest scientific, theoretical and technical standards. The concept of OBIA first gained widespread interest within the GIScience (Geographic Information Science) community circa 2000, with the advent of the first commercial software for what was then termed ‘obje- oriented image analysis’. However, it is widely agreed that OBIA builds on older segmentation, edge-detection and classification concepts that have been used in remote sensing image analysis for several decades. Nevert- less, its emergence has provided a new critical bridge to spatial concepts applied in multiscale landscape analysis, Geographic Information Systems (GIS) and the synergy between image-objects and their radiometric char- teristics and analyses in Earth Observation data (EO).

Handbook of Pattern Recognition and Computer Vision

Author : Chi-hau Chen
Publisher : World Scientific
ISBN 13 : 9814273384
Total Pages : 797 pages
Book Rating : 4.8/5 (142 download)

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Book Synopsis Handbook of Pattern Recognition and Computer Vision by : Chi-hau Chen

Download or read book Handbook of Pattern Recognition and Computer Vision written by Chi-hau Chen and published by World Scientific. This book was released on 2010 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology. There are eight new chapters on the latest developments in life sciences using pattern recognition as well as two new chapters on pattern recognition in remote sensing.

Advances in characterizing and monitoring land cover/use and associated ecosystem changes using remote sensing data

Author : George Xian
Publisher : Frontiers Media SA
ISBN 13 : 2832542689
Total Pages : 206 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advances in characterizing and monitoring land cover/use and associated ecosystem changes using remote sensing data by : George Xian

Download or read book Advances in characterizing and monitoring land cover/use and associated ecosystem changes using remote sensing data written by George Xian and published by Frontiers Media SA. This book was released on 2024-01-09 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scientific and Technical Aerospace Reports

Author :
Publisher :
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:

International Aerospace Abstracts

Author :
Publisher :
ISBN 13 :
Total Pages : 1032 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis International Aerospace Abstracts by :

Download or read book International Aerospace Abstracts written by and published by . This book was released on 1999 with total page 1032 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Remote Sensing Handbook, Volume IV

Author : Prasad S. Thenkabail
Publisher : CRC Press
ISBN 13 : 1040196446
Total Pages : 544 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Remote Sensing Handbook, Volume IV by : Prasad S. Thenkabail

Download or read book Remote Sensing Handbook, Volume IV written by Prasad S. Thenkabail and published by CRC Press. This book was released on 2024-11-29 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume IV of the Six Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring. It discusses remote sensing studies of multi-scale habitat modeling, forest informatics, tree and stand height studies, land cover and land use (LCLU) change mapping, forest biomass and carbon modeling and mapping, and advanced image analysis methods and advances in land remote sensing using optical, radar, LiDAR, and hyperspectral remote sensing. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science for forests, biodiversity, land cover and land use change (LCLUC), biomass, and carbon. Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years. Extensive forestry, LCLUC studies, biomass, and carbon using optical, radar, LiDAR, and hyperspectral data. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book and their extensive knowledge of new and emerging trends.

Global Urban Monitoring and Assessment through Earth Observation

Author : Qihao Weng
Publisher : CRC Press
ISBN 13 : 1466564504
Total Pages : 412 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Global Urban Monitoring and Assessment through Earth Observation by : Qihao Weng

Download or read book Global Urban Monitoring and Assessment through Earth Observation written by Qihao Weng and published by CRC Press. This book was released on 2014-05-23 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cities and towns are the original producers of many of the global environmental problems related to waste disposal, and air and water pollution. There is a rapidly growing need for technologies that will enable monitoring of the world's natural resources and urban assets, and managing exposure to natural and man-made risks. The Group on Earth Obser

Mathematical Models for Remote Sensing Image Processing

Author : Gabriele Moser
Publisher : Springer
ISBN 13 : 3319663305
Total Pages : 446 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Mathematical Models for Remote Sensing Image Processing by : Gabriele Moser

Download or read book Mathematical Models for Remote Sensing Image Processing written by Gabriele Moser and published by Springer. This book was released on 2017-11-28 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.