Synthetic aperture radar image noise-eliminating method based on independent component analysis based image

An independent component analysis, synthetic aperture radar technology, applied in the field of image processing, can solve the problem of not paying attention to the information mining of the base image, achieve good denoising effect, improve image quality, and reduce the standard deviation mean ratio factor

Inactive Publication Date: 2008-03-12
SHANGHAI JIAO TONG UNIV
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Although it surpasses the method of spatial filtering to a certain extent, it requires statist...

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  • Synthetic aperture radar image noise-eliminating method based on independent component analysis based image
  • Synthetic aperture radar image noise-eliminating method based on independent component analysis based image
  • Synthetic aperture radar image noise-eliminating method based on independent component analysis based image

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Embodiment Construction

[0048] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0049] As shown in FIG. 2 , it is the original synthetic aperture radar image with a size of 256×256 polluted by noise in this embodiment.

[0050] As shown in Figure 1, this embodiment includes the following specific steps:

[0051] Step 1: Regular sliding sampling of the original SAR image to obtain the initial matrix;

[0052] The regular sliding sampling refers to the regular sliding sampling of the original synthetic aperture radar image using 8×8 sub-windows, so that the sampling windows overlap each other, and the sampling rules are from left to right, from to...

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Abstract

The present invention relates to a denoising method of a synthesizing aperture radar image based on an independent component analysis basis image in the image processing technical field. First, the original image is sampled and an initial matrix is gained, and the equalizing value removal and whiten operation is performed, then the processing result is disposed as the input matrix of the single component analysis method, and the single component analysis method is performed, and a basis vector aggregation of the original image and the single component are gained; then the basis vector is converted into a relative basis image, and disposed in two steps by adopting the basis image as the object: step 1, the multifractal Herder exponent is adopted as the cost function to make the smooth enhance to the basis image; step 2, according to the signal separation concept, the separation criterion is proposed, the enhanced basis image is separated, and the basis image aggregation relative to the non noise signal is separated. The non noise basis image and the relative encoder matrix are reconstructed to gain the final denoising image. The present invention realizes the compromise between the SAR image noise removal and the useful information reservation, and gains good denoising performance.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a synthetic aperture radar image denoising method based on an independent component analysis base image. Background technique [0002] Synthetic Aperture Radar (SAR) is a high-resolution microwave remote sensing imaging radar that works around the clock. Moving and static target interception and recognition, interferometry and camouflage recognition and detection, etc. Its advantages lie in its high resolution, its ability to work around the clock, and its ability to effectively identify camouflage and penetrate cover. Since the synthetic aperture radar is a coherent imaging radar working in the microwave band and uses a coherent microwave source for irradiation, the echoes of each scattering point are coherently superimposed, and the amplitude and phase have a great relationship with the direction of the echo. When the coherent electromagnetic wave irradia...

Claims

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Application Information

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IPC IPC(8): H04N5/21
Inventor 李昱彤周越王一晶
Owner SHANGHAI JIAO TONG UNIV
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