Title :
A Novel Technique for Noise Reduction in InSAR Images
Author :
Meng, Dan ; Sethu, Vidhyasaharan ; Ambikairajah, Eliathamby ; Ge, Linlin
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales
fDate :
4/1/2007 12:00:00 AM
Abstract :
This letter proposes a new technique for noise reduction applied to synthetic aperture radar interferometry. This technique involves a nonlinear filter that separates the interferogram into two components: one containing the smooth (low frequency) part and the other containing the detail (high frequency) part. The smooth part is obtained using a combination of a median filter and a smoothing filter. The detail component is obtained by subtracting the smooth component from the original signal. This detail component is filtered to remove noise and then added to the smooth component to generate the final output. Both simulated and real data are used to evaluate the performance of the proposed technique under different conditions. The experimental results show that the proposed technique outperforms most commonly used interferometric phase filters
Keywords :
image denoising; median filters; radar imaging; radiowave interferometry; remote sensing by radar; smoothing methods; synthetic aperture radar; InSAR images; image noise reduction; interferometric phase filters; median filter; nonlinear filter; phase noise reduction; smoothing filter; synthetic aperture radar interferometry; Australia; Data mining; Filtering; Filters; Frequency; Noise reduction; Phase noise; Smoothing methods; Synthetic aperture radar; Synthetic aperture radar interferometry; Phase noise reduction; synthetic aperture radar interferometry (InSAR);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2006.888845