JOURNAL ARTICLE

A piece-wise polynomial fitting method to filter the interferogram phase noise [InSAR]

Abstract

Among many important factors for the whole interferometric processing, the interferometric phase quality affects the phase unwrapping and the accuracy of the DEM directly. The noise, which exists in the single complex image, affects the judgment of the image. After the interferogram phase (IP) is taken out from the complex images, the distribution of the phase noise is complicated. To get the high quality IP, the IP noise, which always exists, must be eliminated. The IP noise should be distributed continuously in one period and disconnected from one period to another. The polynomial fitting method can eliminate the phase noise in the continuous interval, but it can also add noise in the discontinuous interval, especially in the whole phase interval. This paper brings forward the piece-wise polynomial fitting (PWPF) method that can eliminate the IP noise. The PWPF can be obtained from the range and azimuth director respectively in the whole IP image. The experiment shows this method has a better IP noise eliminating effect.

Keywords:
Noise (video) Computer science Phase noise Interval (graph theory) Filter (signal processing) Polynomial Phase (matter) Algorithm Median filter Interferometric synthetic aperture radar Noise measurement Interferometry Image (mathematics) Synthetic aperture radar Computer vision Noise reduction Mathematics Optics Image processing Physics Mathematical analysis

Metrics

3
Cited By
0.59
FWCI (Field Weighted Citation Impact)
3
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Synthetic Aperture Radar (SAR) Applications and Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Cryospheric studies and observations
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science

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