Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29572
Title: Least squares-based filter for remote sensing image noise reduction
Authors: Li, ZW
Ding, XL 
Zheng, DW
Huang, C
Keywords: 2-D filter
Least squares
Synthetic aperture radar (SAR)
Vondrák filter
Issue Date: 2008
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on geoscience and remote sensing, 2008, v. 46, no. 7, 4544947, p. 2044-2049 How to cite?
Journal: IEEE transactions on geoscience and remote sensing 
Abstract: The Vondrák filter is a unique technique for smoothing data. The filter aims to achieve a balance between the fidelity and the smoothness of the filtered results. It can therefore preserve the original attributes of the observational data while, at the same time, smooth out the noise. We reformulate the 1-D Vondrák filter that has been widely used in data processing in fields such as astronomy and geophysics and then extend it into two dimensions. The method of conjugate gradients is used to solve the least squares optimization problem. The proposed 2-D filter is a powerful tool for enhancing the quality of various geoscience and remote sensing data such as satellite images. Various tests with simulated and real synthetic aperture radar interferograms show that the new filter is very effective in removing the noise.
URI: http://hdl.handle.net/10397/29572
ISSN: 0196-2892
EISSN: 1558-0644
DOI: 10.1109/TGRS.2008.916981
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