object pattern recognition remote (33 résultats)

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Hardcover. Etat : new. Hardcover. 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. This book highlights the different theoretical and application-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardback. Etat : New. This book highlights the different theoretical and application-oriented aspects and potential solutions to the subject of automated remote sensing data analysis.Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for decades, and many approaches have been developed over the years. The field is specialized and dynamic and also interdisciplinary and multilayered. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence have led to it being the focus of much research in recent years.Written by an international team of experts, the book deals with both concepts and applications and focuses on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches. Both classical knowledge-based as well as modern machine learning-oriented concepts are described.Part A provides 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 covers recent trends in automatic analysis of remote sensing data.

Hardback. Etat : New. This book highlights the different theoretical and application-oriented aspects and potential solutions to the subject of automated remote sensing data analysis.Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for decades, and many approaches have been developed over the years. The field is specialized and dynamic and also interdisciplinary and multilayered. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence have led to it being the focus of much research in recent years.Written by an international team of experts, the book deals with both concepts and applications and focuses on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches. Both classical knowledge-based as well as modern machine learning-oriented concepts are described.Part A provides 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 covers recent trends in automatic analysis of remote sensing data.

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Etat : New. A comprehensive account of the subject covering both concepts and applications. Written by a team of international experts.KlappentextrnrnA comprehensive account of the subject covering both concepts and applications. Written by a team of in.

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Hardcover. Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Hardback. Etat : New. This book highlights the different theoretical and application-oriented aspects and potential solutions to the subject of automated remote sensing data analysis.Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for decades, and many approaches have been developed over the years. The field is specialized and dynamic and also interdisciplinary and multilayered. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence have led to it being the focus of much research in recent years.Written by an international team of experts, the book deals with both concepts and applications and focuses on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches. Both classical knowledge-based as well as modern machine learning-oriented concepts are described.Part A provides 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 covers recent trends in automatic analysis of remote sensing data.

Buch. Etat : Neu. Neuware - 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.