A Polarimetric SAR Image Filtering Method Combined with Statistical Distribution of Polarimetric Decomposition Vectors

Abstract

The present invention discloses a polarimetric SAR image filtering method through combination of polarimetric decomposition vector statistical distribution. The method provided by the invention comprises the following the steps: obtaining scattering vectors through polarimetric target decomposition of input polarimetric SAR image data; obtaining the weight of each pixel point and other pixel points in a search window from the input polarimetric SAR data through adoption of the non-local method; obtaining a measuring formula and a threshold of a polarization similarity according to the distribution characterices of the polarimetric decomposition vector of the polarimetric SAR data, performing the similarity measurement of pixel points in the search window of each pixel point to the find similar set of each pixel point, and modifying a weight formula; and performing filtering of each pixel point through adoption of the final weight formula, and obtaining filtered polarimetric SAR image data. According to the invention, the problem that a filtering method is not able to preferably maintain the detail information and the scattering property of images is solved, therefore the detail and the scattering property of polarimetric SAR images may be preferably maintained while the polarimetric SAR images perform speckle suppression.

Description

technical field [0001] The invention belongs to the technical field of image processing and can be used for coherent speckle suppression of polarimetric SAR images. Specifically, it is a polarization SAR image filtering method combined with the statistical distribution of polarization decomposition vectors. Background technique [0002] Polarimetric Synthetic Aperture Radar (Pol-SAR) is developed on the basis of SAR. It obtains richer target information and is widely used in both military and civil fields. However, there is coherent speckle noise in the polarimetric SAR image, which brings difficulties to subsequent image interpretation and analysis. Therefore, the first step is to perform speckle reduction processing on the polarimetric SAR image. [0003] At present, there are many speckle reduction methods for polarimetric SAR, representative of which are polarimetric whitening filter (PWF), polarimetric refined Lee filtering and other methods, although these methods hav...

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Problems solved by technology

[0004] The purpose of the present invention is to address the above problems, and propose a polarization SAR image filtering method combined with the statistical distribution of polarization decomposition vectors, mainly to solve the problem that the existing filtering algorithm cannot keep the detailed information and scattering of the image well when filtering the image. feature issue

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