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Updating Topographic Map using Remote Sensing Techniques: Comparison of Pixel Based Interpretation and Object Oriented Analysis - Softcover
Synopsis
Image segmentation as basis for object oriented analysis promises high classification accuracy as it also takes structural, textural, contextual and spectral information into account. In this study, vegetation features were extracted on the basis of classification results acquired using the object oriented image analysis and pixel based approaches using fusion of ALOS imagery (PRISM & VNIR) with a spatial resolution of 2.5 m. The main objective of the study is to evaluate the performance of the object oriented image analysis on extracting vegetation features compared to the traditional pixel based classification as an alternative approach for updating the Indonesian topographic map. Beside the accuracy assessment, cost and time assessment was also performed in this study.
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About the Author
Lalitya Narieswari is a researcher in GeospatialInformation Agency (BIG) Republic of Indonesia since 2003. Her professional activities are related to GIS and Remote Sensing application for environmental monitoring.
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Updating Topographic Map using Remote Sensing Techniques
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LAP LAMBERT Academic Publishing Nov 2012, 2012
ISBN 10: 3659300632
ISBN 13: 9783659300639
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image segmentation as basis for object oriented analysis promises high classification accuracy as it also takes structural, textural, contextual and spectral information into account. In this study, vegetation features were extracted on the basis of classification results acquired using the object oriented image analysis and pixel based approaches using fusion of ALOS imagery (PRISM & VNIR) with a spatial resolution of 2.5 m. The main objective of the study is to evaluate the performance of the object oriented image analysis on extracting vegetation features compared to the traditional pixel based classification as an alternative approach for updating the Indonesian topographic map. Beside the accuracy assessment, cost and time assessment was also performed in this study. 52 pp. Englisch. Seller Inventory # 9783659300639
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Updating Topographic Map using Remote Sensing Techniques
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ISBN 13: 9783659300639
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Narieswari LalityaLalitya Narieswari is a researcher in GeospatialInformation Agency (BIG) Republic of Indonesia since 2003. Her professional activities are related to GIS and Remote Sensing application for environmental monitoring. Seller Inventory # 5146849
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Updating Topographic Map using Remote Sensing Techniques : Comparison of Pixel Based Interpretation and Object Oriented Analysis
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image segmentation as basis for object oriented analysis promises high classification accuracy as it also takes structural, textural, contextual and spectral information into account. In this study, vegetation features were extracted on the basis of classification results acquired using the object oriented image analysis and pixel based approaches using fusion of ALOS imagery (PRISM & VNIR) with a spatial resolution of 2.5 m. The main objective of the study is to evaluate the performance of the object oriented image analysis on extracting vegetation features compared to the traditional pixel based classification as an alternative approach for updating the Indonesian topographic map. Beside the accuracy assessment, cost and time assessment was also performed in this study. Seller Inventory # 9783659300639
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Updating Topographic Map using Remote Sensing Techniques: Comparison of Pixel Based Interpretation and Object Oriented Analysis
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Updating Topographic Map using Remote Sensing Techniques
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image segmentation as basis for object oriented analysis promises high classification accuracy as it also takes structural, textural, contextual and spectral information into account. In this study, vegetation features were extracted on the basis of classification results acquired using the object oriented image analysis and pixel based approaches using fusion of ALOS imagery (PRISM & VNIR) with a spatial resolution of 2.5 m. The main objective of the study is to evaluate the performance of the object oriented image analysis on extracting vegetation features compared to the traditional pixel based classification as an alternative approach for updating the Indonesian topographic map. Beside the accuracy assessment, cost and time assessment was also performed in this study.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 52 pp. Englisch. Seller Inventory # 9783659300639
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Updating Topographic Map using Remote Sensing Techniques | Comparison of Pixel Based Interpretation and Object Oriented Analysis
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Taschenbuch. Condition: Neu. Updating Topographic Map using Remote Sensing Techniques | Comparison of Pixel Based Interpretation and Object Oriented Analysis | Lalitya Narieswari | Taschenbuch | 52 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659300639 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106163466