Polarization SAR image filtering method for window self-adaptation

An adaptive and window-based technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of reducing noise suppression ability, increasing algorithm complexity, false bright lines, etc.

Inactive Publication Date: 2014-05-07
WUHAN UNIV
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Problems solved by technology

However, this filtering algorithm has obvious defects: there are obvious but scallop effects in homogeneous areas, and there are obvious false bright lines in darker linear areas
The first idea further screens homogeneous pixels in a non-square window, which will reduce the noise suppression ability and increase the complexity of the algorithm; the second idea can only improve the problem of false thin lines, but cannot fundamentally overcome these two defects

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  • Polarization SAR image filtering method for window self-adaptation
  • Polarization SAR image filtering method for window self-adaptation
  • Polarization SAR image filtering method for window self-adaptation

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Embodiment Construction

[0059] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0060] please see figure 1 , the technical scheme that the present invention adopts is: a kind of polarized SAR image filtering method of window adaptation, comprises the following steps:

[0061] Step 1: Set parameters: set the maximum filter window W max and the minimum filtering window W min , get N=(W max –W min ) / 2+1 windows W of different sizes;

[0062] Step 2: Calculate the polarization homogeneity map: For different sizes of windows W, calculate the corresponding polarization homogeneity map PolH(W), and obtain the pixel orientation map θ(W) and the pixel type map T at the same time p (W);

[0063] The calculation formula of the polarization homogeneity map PolH is: PolH=ENL / LAE, where ENL is the equivalent view number map, and LAE is the line and edge detection map.

[0064] The calculation formula of the equivalent view map EN...

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Abstract

The invention discloses a polarization SAR image filtering method for window self-adaptation. An image is filtered through a window template which is self-adaptive in size and shape, namely, a large square window is used for performing filtering in a heterogeneous area, a small non-square window is used for performing filtering in the homogenous area, point information, line information, edge information and other detailed information are kept while the noise is restrained, and the coherent speckle noise restraining effect is improved to the maximum degree.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and is an image coherent speckle noise suppression method, which relates to a new method for filtering coherent speckle noise in Polarimetric Synthetic Aperture Radar (PolSAR) images, and specifically relates to a A window-adaptive filtering method for polarimetric SAR images. Background technique [0002] Compared with single-polarization SAR, full-polarization SAR system can provide richer full-polarization information, so it is gradually replacing single-polarization SAR to play an increasingly important role in surface classification, target recognition, change monitoring, parameter inversion, etc. Role. However, since the SAR system uses coherent imaging, coherent speckle noise inevitably exists in the SAR image. The coherent speckle noise reduces the signal-to-noise ratio of the data, making SAR image interpretation and parameter inversion more difficult. In order...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 郎丰铠杨杰李德仁
Owner WUHAN UNIV
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