"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING" | Microwave Remote Sensing, Satellites, Artificial Neural Networks & Speckle Reduction: Concepts and Applications
Manav Jain
ISBN 10: 3845401095 ISBN 13: 9783845401096
Published by LAP LAMBERT Academic Publishing, 2011
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"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING" | Microwave Remote Sensing, Satellites, Artificial Neural Networks & Speckle Reduction: Concepts and Applications | Manav Jain | Taschenbuch | 124 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845401096 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106907759
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Over the recent years, remote sensing has been extensive in the field of sciences drawing from many areas for support and development. It depends greatly on the support of governments and private industries worldwide. Satellite and digital imagery play an important role in remote sensing; providing information about the land use activities.The remotely sensed data is now available in various wavelength ranges from a large number of satellites orbiting the earth. The main characteristics of remotely sensed data are spatial, spectral, radiometric and temporal resolutions. Spectral and radiometric resolutions have also been improved. This has resulted in tremendous amount of data to be handled and processed. The main objective of the studies is to develop methods for reducing speckle in SAR data mainly by ANN, also by utilizing spectral and spatial attributes and statistical approach. A critical review is carried out pertaining to various aspects of SAR data analysis, such as, speckle reduction in SAR images, speckle reduction using first order statistics, classification methods, their application for SAR data analysis and advantages in speckle reduction of SAR data.
About the Author: Civil Engineering at Indian Institute of Technology Bombay, Mumbai, India, 2010Project Engineer (Civil) at AMANA Contracting and Steel Buildings, Dubai, UAE
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Title: "NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2011
Binding: Taschenbuch
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NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain ManavCivil Engineering at Indian Institute of Technology Bombay, Mumbai, India, 2010Project Engineer (Civil) at AMANA Contracting and Steel Buildings, Dubai, UAEOver the recent years, remote sensing has been extensive in the. Seller Inventory # 5480288
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"\"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING\"
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ISBN 13: 9783845401096
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the recent years, remote sensing has been extensive in the field of sciences drawing from many areas for support and development. It depends greatly on the support of governments and private industries worldwide. Satellite and digital imagery play an important role in remote sensing; providing information about the land use activities.The remotely sensed data is now available in various wavelength ranges from a large number of satellites orbiting the earth. The main characteristics of remotely sensed data are spatial, spectral, radiometric and temporal resolutions. Spectral and radiometric resolutions have also been improved. This has resulted in tremendous amount of data to be handled and processed. The main objective of the studies is to develop methods for reducing speckle in SAR data mainly by ANN, also by utilizing spectral and spatial attributes and statistical approach. A critical review is carried out pertaining to various aspects of SAR data analysis, such as, speckle reduction in SAR images, speckle reduction using first order statistics, classification methods, their application for SAR data analysis and advantages in speckle reduction of SAR data.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch. Seller Inventory # 9783845401096
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NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING
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LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845401095
ISBN 13: 9783845401096
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the recent years, remote sensing has been extensive in the field of sciences drawing from many areas for support and development. It depends greatly on the support of governments and private industries worldwide. Satellite and digital imagery play an important role in remote sensing; providing information about the land use activities.The remotely sensed data is now available in various wavelength ranges from a large number of satellites orbiting the earth. The main characteristics of remotely sensed data are spatial, spectral, radiometric and temporal resolutions. Spectral and radiometric resolutions have also been improved. This has resulted in tremendous amount of data to be handled and processed. The main objective of the studies is to develop methods for reducing speckle in SAR data mainly by ANN, also by utilizing spectral and spatial attributes and statistical approach. A critical review is carried out pertaining to various aspects of SAR data analysis, such as, speckle reduction in SAR images, speckle reduction using first order statistics, classification methods, their application for SAR data analysis and advantages in speckle reduction of SAR data. 124 pp. Englisch. Seller Inventory # 9783845401096
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"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING" : Microwave Remote Sensing, Satellites, Artificial Neural Networks & Speckle Reduction: Concepts and Applications
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ISBN 10: 3845401095
ISBN 13: 9783845401096
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the recent years, remote sensing has been extensive in the field of sciences drawing from many areas for support and development. It depends greatly on the support of governments and private industries worldwide. Satellite and digital imagery play an important role in remote sensing; providing information about the land use activities.The remotely sensed data is now available in various wavelength ranges from a large number of satellites orbiting the earth. The main characteristics of remotely sensed data are spatial, spectral, radiometric and temporal resolutions. Spectral and radiometric resolutions have also been improved. This has resulted in tremendous amount of data to be handled and processed. The main objective of the studies is to develop methods for reducing speckle in SAR data mainly by ANN, also by utilizing spectral and spatial attributes and statistical approach. A critical review is carried out pertaining to various aspects of SAR data analysis, such as, speckle reduction in SAR images, speckle reduction using first order statistics, classification methods, their application for SAR data analysis and advantages in speckle reduction of SAR data. Seller Inventory # 9783845401096
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"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING": Microwave Remote Sensing, Satellites, Artificial Neural Networks & Speckle Reduction: Concepts and Applications
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