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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 - Softcover
Inhaltsangabe
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.
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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.
Biografía del autor
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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NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845401095
ISBN 13: 9783845401096
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Zustand: 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. Bestandsnummer des Verkäufers 5480288
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NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING
Verlag:
LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845401095
ISBN 13: 9783845401096
Neu
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 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
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845401095
ISBN 13: 9783845401096
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783845401096
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"\"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING\"
Verlag:
LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845401095
ISBN 13: 9783845401096
Neu
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Taschenbuch. Zustand: Neu. 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. Bestandsnummer des Verkäufers 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
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845401095
ISBN 13: 9783845401096
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Paperback. Zustand: Like New. Like New. book. Bestandsnummer des Verkäufers ERICA79638454010956
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