Thong Nhat Tran (6 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2012

      384431170X / 9783844311709

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: Neu. Automatic Extraction for Objects in QuikBird Satellite Image | Comparison of Pixel Based and Object Oriented Approach | Thong Nhat Tran | Taschenbuch | 164 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783844311709 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2012

      384431170X / 9783844311709

      • Softcover

      Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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      Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Dez 2012, 2012

      384431170X / 9783844311709

      • Softcover
      • Print on Demand

      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2012

      384431170X / 9783844311709

      • Softcover
      • Print on Demand

      Seller: moluna, Greven, Germanymoluna

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      Condition: 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 .

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2012

      384431170X / 9783844311709

      • Softcover
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      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Dez 2012, 2012

      384431170X / 9783844311709

      • Softcover
      • Print on Demand

      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 imagesVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch.