NDLI: Multi-resolution filter banks for enhanced SAR imaging

Content Provider	IEEE Xplore Digital Library
Author	Sheybani, E.O. Javidi, G.
Copyright Year	2012
Description	Author affiliation: Virginia State University, Petersburg, 23806, USA (Sheybani, E.O.; Javidi, G.)
Abstract	SAR finds applications in many of NASA's earth science fields such as deformation, ecosystem structure, and dynamics of ice, snow and cold land processes, and surface water and ocean topography. Traditionally, standard methods such as Fast-Fourier Transform (FFT) and Inverse Fast-Fourier Transform (IFFT) have been used to extract images from SAR radar data. Due to non-parametric features of these methods and their resolution limitations and observation time dependence, use of spectral estimation and signal pre- and post-processing techniques based on wavelets to process SAR radar data has been proposed. Multi-resolution wavelet transforms and advanced spectral estimation techniques have proven to offer efficient solutions to this problem. This paper discusses innovative wavelet-based filter banks designed to enhance the analysis of super resolution Synthetic Aperture Radar (SAR) images using parametric spectral methods and signal classification algorithms.
Starting Page	2702
Ending Page	2706
File Size	627274
Page Count	5
File Format	PDF
ISBN	9781467301985
e-ISBN	9781467301992
DOI	10.1109/ICSAI.2012.6223611
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Algorithm design and analysis Image coding Image resolution Noise reduction Signal processing algorithms
Content Type	Text
Resource Type	Article

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