Title
Progressive space frequency quantization for SAR data compression
Abstract
The authors propose a new wavelet image coding technique for synthetic aperture radar (SAR) data compression called a progressive space-frequency quantization (PSFQ). PSFQ performs spatial quantization via rate distortion-optimized zerotree pruning of wavelet coefficients that are coded using a progressive subband coding technique. They compared the performances of zerotree-based methods: EZW, SPI...
Year
DOI
Venue
2002
10.1109/36.981344
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Frequency,Quantization,Data compression,Image reconstruction,Image coding,Synthetic aperture radar,Rate distortion theory,Wavelet coefficients,Rate-distortion,Probability density function
Computer vision,Set partitioning in hierarchical trees,Synthetic aperture radar,Sub-band coding,Artificial intelligence,Quantization (signal processing),Data compression,Rate–distortion theory,Mathematics,Wavelet transform,Wavelet
Journal
Volume
Issue
ISSN
40
1
0196-2892
Citations 
PageRank 
References 
6
0.58
11
Authors
4
Name
Order
Citations
PageRank
D. Gleich170.98
P. Planinšič2277.70
B. Gergič3151.65
Zarko Cucej4183.59