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

 

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  • Product Description
 

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.

Product Specifications
SKU :COC98684
AuthorManav Jain
LanguageEnglish
BindingPaperback
Number of Pages124
Publishing Year2011-07-02T00:00:00.000
ISBN978-3845401096
Edition1 st
Book TypeEarth sciences, geography, environment, planning
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-08-18 00:00:00
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