Fuzzy Machine Learning Algorithms For Remote Sensing Image Classification
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Fuzzy Machine Learning Algorithms For Remote Sensing Image Classification
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Author : Anil Kumar
language : en
Publisher: CRC Press
Release Date : 2020-07-19
Fuzzy Machine Learning Algorithms For Remote Sensing Image Classification written by Anil Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-19 with Computers categories.
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.
Fuzzy Machine Learning Algorithms For Remote Sensing Image Classification
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Author : A. Senthil Kumar
language : en
Publisher: CRC Press
Release Date : 2020-07-19
Fuzzy Machine Learning Algorithms For Remote Sensing Image Classification written by A. Senthil Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-19 with Computers categories.
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.
An Integrated Classification Approach For Remote Sensing Data Incorporating Fuzzy Neural Networks Gis And Gps
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Author : Hee-Bum Lee
language : en
Publisher:
Release Date : 1997
An Integrated Classification Approach For Remote Sensing Data Incorporating Fuzzy Neural Networks Gis And Gps written by Hee-Bum Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Applications And Science Of Neural Networks Fuzzy Systems And Evolutionary Computation Iii
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Author : Bruno Bosacchi
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 2000
Applications And Science Of Neural Networks Fuzzy Systems And Evolutionary Computation Iii written by Bruno Bosacchi and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
Applications And Science Of Neural Networks Fuzzy Systems And Evolutionary Computation
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Author :
language : en
Publisher:
Release Date : 2000
Applications And Science Of Neural Networks Fuzzy Systems And Evolutionary Computation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Evolutionary computation categories.
Image And Signal Processing For Remote Sensing
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Author :
language : en
Publisher:
Release Date : 1996
Image And Signal Processing For 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 1996 with Image processing categories.
Agriculture And Hydrology Applications Of Remote Sensing
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Author : Robert J. Kuligowski
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 2006
Agriculture And Hydrology Applications Of Remote Sensing written by Robert J. Kuligowski and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Science categories.
Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Digital Analysis Of Remotely Sensed Imagery
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Author : Jay Gao
language : en
Publisher: McGraw Hill Professional
Release Date : 2009-05-01
Digital Analysis Of Remotely Sensed Imagery written by Jay Gao and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-01 with Technology & Engineering categories.
An important text that identifies and introduces new trends in image analysis Digital Analysis of Remotely Sensed Imagery provides thorough coverage of the entire process of analyzing remotely sensed data for the purpose of producing accurate representations in thematic map format. Written in easy-to-follow language with minimal technical jargon, the book explores cutting-edge techniques and trends in image analysis, as well as the relationship between image processing and other recently emerged special technologies.
Image Processing
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Author :
language : en
Publisher:
Release Date : 2007
Image Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Algorithms categories.
Optical Information Processing Technology
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Author : Guoguang Mu
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 2002
Optical Information Processing Technology written by Guoguang Mu and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.