Multiband InSAR (Interferometric Synthetic Aperture Radar) phase unwrapping method based on differential filtration
A phase unwrapping and differential filtering technology, applied in the multi-band InSAR field, can solve the problems of interference phase undersampling, interference fringe aliasing, and inability to perform, and achieve the effects of high precision, improved solvability, and easy phase unwrapping.
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Embodiment 1
[0037] For interferometric data in different bands, the difficulty and precision of interferometric processing are different. When the wavelength is long, the frequency of the interferogram is low, and the interferometric phase unwrapping is easy, but the elevation accuracy obtained is low; conversely, when the wavelength is short, the elevation accuracy can be obtained theoretically, but interference is prone to occur at this time The phase is under-sampled, and its interference quality is low. It is difficult to effectively filter and phase unwrap the interferogram, and it is impossible to perform effective interferometry and elevation information acquisition.
[0038] In order to make full use of the respective advantages of the interference data of different wave bands, the present invention combines the interference data of different wave bands, uses the unwrapping results of the longer wavelength interferograms to guide the phase unwrapping of the shorter wavelength inter...
Embodiment 2
[0076] The difference between this embodiment and Embodiment 1 is that in step ① of this embodiment, the longest wavelength and lowest frequency interferogram Interferogram Inter 1 Perform filtering.
[0077] Specifically, as image 3 As shown, it includes the following steps:
[0078] (a) Mapping interferometric phase values to unit vectors in vector space. Assume Indicates the interferometric phase value containing noise at a certain pixel in the interferogram, which is mapped to a unit vector in the vector space as:
[0079]
[0080] (b) Decompose the interferogram in vector space into sinusoidal components and cosine components
[0081] (c) Carry out mean filtering processing on the sine component sin(φ(x, y)+n(x, y)) and the cosine component cos(φ(x, y)+n(x, y)) respectively;
[0082] (d) by the filtered sine component and cosine components Computing the filtered interferogram, let The calculation formula is:
[0083] φ ...
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