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Classification Methods For Remotely Sensed Data, Second Edition - Crc Press
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Crc Press:
Classification Methods For Remotely Sensed Data, Second Edition - nuovo libro

2009, ISBN: 9781420090741

ID: 20590168

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make USE of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to USE and refined in commercial applications as well as military. Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make USE of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to USE and refined in commercial applications as well as military ones. Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource: Presents a number of approaches to solving the problem of allocation of data to one of several classesCovers potential approaches to the USE of decision trees Describes developments such as boosting and random forest generationReviews lopping branches that do not contribute to the effectiveness of the decision treesComplete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods. eBooks, Computing~~Computer Science~~Image Processing, Classification Methods For Remotely Sensed Data, Second Edition~~EBook~~9781420090741~~Paul Mather, Brandt Tso, , Classification Methods For Remotely Sensed Data, Second Edition, Paul Mather, 9781420090741, Crc Press, 05/12/2009, , , , Crc Press

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MPN: , SKU 20590168 Costi di spedizione:zzgl. Versandkosten, Costi di spedizione aggiuntivi
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Classification Methods for Remotely Sensed Data, Second Edition - Paul Mather#Brandt Tso
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Paul Mather#Brandt Tso:
Classification Methods for Remotely Sensed Data, Second Edition - nuovo libro

2001, ISBN: 9781420090741

ID: 126250009

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in commercial applications as well as military ones.Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource:Presents a number of approaches to solving the problem of allocation of data to one of several classesCovers potential approaches to the use of decision trees Describes developments such as boosting and random forest generationReviews lopping branches that do not contribute to the effectiveness of the decision treesComplete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods. Classification Methods for Remotely Sensed Data, Second Edition eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Informatik, CRC Press

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No. 41608739 Costi di spedizione:DE (EUR 12.70)
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Classification Methods for Remotely Sensed Data, Second Edition - Colt McAnlis
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Colt McAnlis:
Classification Methods for Remotely Sensed Data, Second Edition - nuovo libro

2001, ISBN: 9781420090741

ID: 9781420090741

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in commercial applications as well as military ones.Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource:Presents a number of approaches to solving the problem of allocation of data to one of several classesCovers potential approaches to the use of decision trees Describes developments such as boosting and random forest generationReviews lopping branches that do not contribute to the effectiveness of the decision treesComplete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods. ; PDF \ Colt McAnlis; Scientific, Technical and Medical > Geography > Geographical information systems, Apress

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Classification Methods for Remotely Sensed Data, Second Edition - Soon Y. Warren
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Soon Y. Warren:
Classification Methods for Remotely Sensed Data, Second Edition - nuovo libro

2001, ISBN: 9781420090741

ID: 9781420090741

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in commercial applications as well as military ones.Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource:Presents a number of approaches to solving the problem of allocation of data to one of several classesCovers potential approaches to the use of decision trees Describes developments such as boosting and random forest generationReviews lopping branches that do not contribute to the effectiveness of the decision treesComplete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods. ; PDF; Scientific, Technical and Medical > Geography > Geographical information systems, F+W Media

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No. 9781420090741. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
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Classification Methods for Remotely Sensed Data, Second Edition - Tso, Brandt Mather, Paul
libro esaurito
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Tso, Brandt Mather, Paul:
Classification Methods for Remotely Sensed Data, Second Edition - nuovo libro

2001, ISBN: 9781420090741

[ED: Loseblattsammlung], [PU: CRC PR INC], Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in commercial applications as well as military ones. Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource: Presents a number of approaches to solving the problem of allocation of data to one of several classes Covers potential approaches to the use of decision trees Describes developments such as boosting and random forest generation Reviews lopping branches that do not contribute to the effectiveness of the decision trees Complete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods.Versandfertig in über 4 Wochen

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Dettagli del libro
Classification Methods for Remotely Sensed Data, Second Edition

Since the publishing of the first edition of Classification Methods for Remotely Sensed Data in 2001, the field of pattern recognition has expanded in many new directions that make use of new technologies to capture data and more powerful computers to mine and process it. What seemed visionary but a decade ago is now being put to use and refined in commercial applications as well as military ones. Keeping abreast of these new developments, Classification Methods for Remotely Sensed Data, Second Edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. This second edition provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees. It includes updated discussions and descriptions of Earth observation missions along with updated bibliographic references. After an introduction to the basics, the text provides a detailed discussion of different approaches to image classification, including maximum likelihood, fuzzy sets, and artificial neural networks. This cutting-edge resource: Presents a number of approaches to solving the problem of allocation of data to one of several classes Covers potential approaches to the use of decision trees Describes developments such as boosting and random forest generation Reviews lopping branches that do not contribute to the effectiveness of the decision trees Complete with detailed comparisons, experimental results, and discussions for each classification method introduced, this book will bolster the work of researchers and developers by giving them access to new developments. It also provides students with a solid foundation in remote sensing data classification methods.

Informazioni dettagliate del libro - Classification Methods for Remotely Sensed Data, Second Edition


EAN (ISBN-13): 9781420090741
ISBN (ISBN-10): 1420090747
Anno di pubblicazione: 2009
Editore: CRC PR INC
376 Pagine
Lingua: eng/Englisch

Libro nella banca dati dal 02.07.2009 16:10:41
libro trovato per l'ultima volta il19.09.2018 21:37:43
ISBN/EAN: 9781420090741

ISBN - Stili di scrittura alternativi:
1-4200-9074-7, 978-1-4200-9074-1


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