DocumentCode
2141528
Title
A piece-wise polynomial fitting method to filter the interferogram phase noise [InSAR]
Author
Debao, Ma ; Ming, Liu ; Yi-qun, Deng ; Yi, Lin
Author_Institution
Inf. Eng. Univ., Zheng Zhou, China
Volume
6
fYear
2002
fDate
24-28 June 2002
Firstpage
3459
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
digital filters; phase noise; polynomials; radar theory; radiowave interferometry; synthetic aperture radar; DEM; InSAR; azimuth; complex images; digital elevation model; interferogram phase noise filtering; interferometric phase quality; interferometric processing; phase noise distribution; phase unwrapping; piece-wise polynomial fitting method; range; synthetic aperture radar interferometry; Azimuth; Image quality; Information filtering; Information filters; Phase noise; Polynomials; Synthetic aperture radar interferometry;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1027215
Filename
1027215
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