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Automatic Extraction for Objects in QuikBird Satellite Image: Comparison of Pixel Based and Object Oriented Approach - Couverture souple
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Présentation de l'éditeur :
Remote sensing is an advanced technology for supplying information on natural resources and environment. Automatic traditional classifications are pixel based approaches showing problems for extraction of the objects in high resolution satellite images. The problems requires new methods that are better than the traditional ones. Recently, a new method appeared which is called object oriented approach. Therefore, in the investigation the new approach will be studied and compared to the traditional methods for QuickBird image. The text includes three parts. The first part is to show the pixel based approach. The second part is written down the works and output of the object oriented approach and the final part is comparisons and assessments between the both approaches. However, the text is covered by almost the techniques for the satellite image analysis, classifications including unsupervised, supervised and object oriented approach with clear and helpful backgrounds of the techniques and approaches. With the content, the text is very good for large range of users who want to study and apply the remote sensing technology to extract information from satellite images
Biographie de l'auteur :
Tran Thong Nhat, M.Sc. on Photogrametry and Geoinformatics at Stuttgart University of Applied Sciences. Ph.D. candidate on Department of Environment Planning, Brandenburg University of Technology, CottbusMain research fields: Researching and developing tools to apply GIS and RS to applications on urban environment and natural resources.
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- ÉditeurLAP LAMBERT Academic Publishing
- Date d'édition2012
- ISBN 10 384431170X
- ISBN 13 9783844311709
- ReliureBroché
- Nombre de pages164
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Automatic Extraction for Objects in QuikBird Satellite Image: Comparison of Pixel Based and Object Oriented Approach
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Automatic Extraction for Objects in Quikbird Satellite Image
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Automatic Extraction for Objects in QuikBird Satellite Image
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Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Remote sensing is an advanced technology for supplying information on natural resources and environment. Automatic traditional classifications are pixel based approaches showing problems for extraction of the objects in high resolution satellite images. The problems requires new methods that are better than the traditional ones. Recently, a new method appeared which is called object oriented approach. Therefore, in the investigation the new approach will be studied and compared to the traditional methods for QuickBird image. The text includes three parts. The first part is to show the pixel based approach. The second part is written down the works and output of the object oriented approach and the final part is comparisons and assessments between the both approaches. However, the text is covered by almost the techniques for the satellite image analysis, classifications including unsupervised, supervised and object oriented approach with clear and helpful backgrounds of the techniques and approaches. With the content, the text is very good for large range of users who want to study and apply the remote sensing technology to extract information from satellite images 164 pp. Englisch. N° de réf. du vendeur 9783844311709
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Automatic Extraction for Objects in QuikBird Satellite Image Comparison of Pixel Based and Object Oriented Approach
Edité par
LAP LAMBERT Academic Publishing
(2012)
ISBN 10 : 384431170X
ISBN 13 : 9783844311709
Neuf
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Automatic Extraction for Objects in QuikBird Satellite Image : Comparison of Pixel Based and Object Oriented Approach
Edité par
LAP LAMBERT Academic Publishing
(2012)
ISBN 10 : 384431170X
ISBN 13 : 9783844311709
Neuf
Taschenbuch
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Description du livre Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Remote sensing is an advanced technology for supplying information on natural resources and environment. Automatic traditional classifications are pixel based approaches showing problems for extraction of the objects in high resolution satellite images. The problems requires new methods that are better than the traditional ones. Recently, a new method appeared which is called object oriented approach. Therefore, in the investigation the new approach will be studied and compared to the traditional methods for QuickBird image. The text includes three parts. The first part is to show the pixel based approach. The second part is written down the works and output of the object oriented approach and the final part is comparisons and assessments between the both approaches. However, the text is covered by almost the techniques for the satellite image analysis, classifications including unsupervised, supervised and object oriented approach with clear and helpful backgrounds of the techniques and approaches. With the content, the text is very good for large range of users who want to study and apply the remote sensing technology to extract information from satellite images. N° de réf. du vendeur 9783844311709
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EUR 68
Autre devise
Image d'archives
Automatic Extraction for Objects in QuikBird Satellite Image Comparison of Pixel Based and Object Oriented Approach
Edité par
LAP LAMBERT Academic Publishing
(2012)
ISBN 10 : 384431170X
ISBN 13 : 9783844311709
Neuf
PAP
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Description du livre PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783844311709
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Automatic Extraction for Objects in QuikBird Satellite Image
Edité par
LAP LAMBERT Academic Publishing
(2012)
ISBN 10 : 384431170X
ISBN 13 : 9783844311709
Neuf
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Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tran Thong NhatTran Thong Nhat, M.Sc. on Photogrametry and Geoinformatics at Stuttgart University of Applied Sciences. Ph.D. candidate on Department of Environment Planning, Brandenburg University of Technology, CottbusMain research . N° de réf. du vendeur 5471640
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