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Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for many decades, and many approaches have been developed over the years. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence has led to this topic being the focus of much research in recent years. This book highlights the different theoretical and application-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Thereby, both classical knowledge-based as well as modern machine learning-oriented concepts are described. A field such as this is specialized and dynamic and also interdisciplinary and multilayered. Written by an international team of experts, the book has therefore been split into parts dealing with the concepts and applications, and the focus is on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches.Part A of this book gives insight into the basic theories and concepts of feature extraction, image understanding and the respective assessment strategies as well as into geometric, radiometric and sensor-related fundamentals of remote sensing technology. Part B focuses on various scientific and practical applications of remote sensing data analysis. These range from the automatic detailed reconstruction of complex 3D environments to visual tracking of objects in image sequences as well as monitoring natural and anthropogenic long-term processes on a regional scale Part C sketches recent trends in automatic analysis of remote sensing data. Format Inbunden Omfång 352 sidor Språk Engelska Förlag Porto Press Ltd Utgivningsdatum 2020-06-23 ISBN 9781849951289
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Whittles Publishing Ltd
Utgivningsår
2021
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Inbunden
Sidantal
352
Språk
Engelska
ISBN
9781849951289
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Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for many decades, and many approaches have been developed over the years. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence has led to this topic being the focus of much research in recent years. This book highlights the different theoretical and application-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Thereby, both classical knowledge-based as well as modern machine learning-oriented concepts are described. A field such as this is specialized and dynamic and also interdisciplinary and multilayered. Written by an international team of experts, the book has therefore been split into parts dealing with the concepts and applications, and the focus is on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches.Part A of this book gives insight into the basic theories and concepts of feature extraction, image understanding and the respective assessment strategies as well as into geometric, radiometric and sensor-related fundamentals of remote sensing technology. Part B focuses on various scientific and practical applications of remote sensing data analysis. These range from the automatic detailed reconstruction of complex 3D environments to visual tracking of objects in image sequences as well as monitoring natural and anthropogenic long-term processes on a regional scale Part C sketches recent trends in automatic analysis of remote sensing data. Format Inbunden Omfång 352 sidor Språk Engelska Förlag Porto Press Ltd Utgivningsdatum 2020-06-23 ISBN 9781849951289
Stabilt pris
Som normalt
Sällan rea
Förlag
Whittles Publishing Ltd
Utgivningsår
2021
Format
Inbunden
Sidantal
352
Språk
Engelska
ISBN
9781849951289
Inbunden · Engelska
Just nu listar 1 butik den här boken. Bevaka priset så meddelar vi dig när fler butiker eller ett lägre pris dyker upp.
ISBN 9781849951289 jämförs hos alla butiker
Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for many decades, and many approaches have been developed over the years. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence has led to this topic being the focus of much research in recent years. This book highlights the different theoretical and application-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Thereby, both classical knowledge-based as well as modern machine learning-oriented concepts are described. A field such as this is specialized and dynamic and also interdisciplinary and multilayered. Written by an international team of experts, the book has therefore been split into parts dealing with the concepts and applications, and the focus is on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches.Part A of this book gives insight into the basic theories and concepts of feature extraction, image understanding and the respective assessment strategies as well as into geometric, radiometric and sensor-related fundamentals of remote sensing technology. Part B focuses on various scientific and practical applications of remote sensing data analysis. These range from the automatic detailed reconstruction of complex 3D environments to visual tracking of objects in image sequences as well as monitoring natural and anthropogenic long-term processes on a regional scale Part C sketches recent trends in automatic analysis of remote sensing data. Format Inbunden Omfång 352 sidor Språk Engelska Förlag Porto Press Ltd Utgivningsdatum 2020-06-23 ISBN 9781849951289
Stabilt pris
Som normalt
Sällan rea
Förlag
Whittles Publishing Ltd
Format
Inbunden
Sidantal
352
Språk
Engelska
ISBN
9781849951289
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