"\"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING\"

Manav Jain

ISBN 10: 3845401095 / ISBN 13: 9783845401096

Published by LAP LAMBERT Academic Publishing Jul 2011, 2011

About this Item

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

Bibliographic Details

• Title: "\"NEURAL NETWORKS IN SPECKLE REDUCTION OF SAR DATA FOR LANDUSE MAPPING\"
• Publisher: LAP LAMBERT Academic Publishing Jul 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3845401095
• ISBN 13: 9783845401096
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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