lalitya narieswari (12 risultati)

Paperback. Condizione: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.

Taschenbuch. Condizione: Neu. Extracting Nature Areas Using Object Oriented Analysis | Remote Sensing for Environmental Monitoring | Lalitya Narieswari | Taschenbuch | 64 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659246999 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: 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.

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

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A so-called non-intervention management scheme has been adopted in a large part of the nature areas. This means that natural processes like storm, grazing, climate, succession and diseases are allowed to occur and become a dominant factor that changes the structure and ecosystem in the area. There is a need to monitor how the applied management influences the environment and the habitat of the nature area. This study focuses on developing an approach to extract the different types of land cover which characterize the nature areas in the study area based on object oriented analysis using aerial photographs. Three subset areas were chosen and considered as representative areas. The study aimed to create a rule set transferable to other datasets to enable automatic monitoring. Using Definiens Developer, segmentation and classification were undertaken at 2 levels to create a hierarchical image object. The validation was assessed by comparing the result of the computer-based segmentation with a reference segmentation generated by visual interpretation. 64 pp. Englisch.

Taschenbuch. Condizione: 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.

Condizione: 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.

Condizione: 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 Geospatial Information Agency (BIG) Republic of Indonesia since 2003. Her professional activities are related to GIS and Remote Sensing application for environmental monitoring.

Taschenbuch. Condizione: 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A so-called non-intervention management scheme has been adopted in a large part of the nature areas. This means that natural processes like storm, grazing, climate, succession and diseases are allowed to occur and become a dominant factor that changes the structure and ecosystem in the area. There is a need to monitor how the applied management influences the environment and the habitat of the nature area. This study focuses on developing an approach to extract the different types of land cover which characterize the nature areas in the study area based on object oriented analysis using aerial photographs. Three subset areas were chosen and considered as representative areas. The study aimed to create a rule set transferable to other datasets to enable automatic monitoring. Using Definiens Developer, segmentation and classification were undertaken at 2 levels to create a hierarchical image object. The validation was assessed by comparing the result of the computer-based segmentation with a reference segmentation generated by visual interpretation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.

Taschenbuch. Condizione: 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.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A so-called non-intervention management scheme has been adopted in a large part of the nature areas. This means that natural processes like storm, grazing, climate, succession and diseases are allowed to occur and become a dominant factor that changes the structure and ecosystem in the area. There is a need to monitor how the applied management influences the environment and the habitat of the nature area. This study focuses on developing an approach to extract the different types of land cover which characterize the nature areas in the study area based on object oriented analysis using aerial photographs. Three subset areas were chosen and considered as representative areas. The study aimed to create a rule set transferable to other datasets to enable automatic monitoring. Using Definiens Developer, segmentation and classification were undertaken at 2 levels to create a hierarchical image object. The validation was assessed by comparing the result of the computer-based segmentation with a reference segmentation generated by visual interpretation.