Adaptive bilateral filtering algorithm for polarized SAR image

Abstract

The invention discloses an adaptive bilateral filtering algorithm for a polarized SAR image. The adaptive bilateral filtering algorithm for a polarized SAR image is mainly used for solving the problem of adaptive values for filtering parameters according to the structural characteristics and the noise situation of the image during the process for bilateral filtering of a polarized SAR image. The implementation process of the adaptive bilateral filtering algorithm is that 1) executing a polarized total power graph; 2) adaptively selecting the space variance; 3) estimating the noise variance of the image; 4) calculating the gray scale variance according to the noise variance; 5) polarizing bilateral filtering; and 6) utilizing pauli RGB to decompose the filtering result to obtain a pseudo colour graph. The adaptive bilateral filtering algorithm can save the work for manually setting the filtering parameters, and also the obtained filtering parameters are optimized and reliable, compared with a traditional polarized filtering algorithm; and the adaptive bilateral filtering algorithm can be used for filtering processing on the polarized SAR image.

Description

technical field [0001] The invention relates to the field of image filtering algorithms, in particular to an adaptive bilateral filtering algorithm for polarimetric SAR images. Background technique [0002] Polarization synthetic aperture radar has all-weather, all-weather and high-resolution imaging advantages, and has been widely used in military reconnaissance, resource detection and disaster monitoring and other fields. The existence of coherent speckle noise is an inherent principle defect of SAR imaging system, which seriously affects the manual visual interpretation and computer automatic interpretation of image content. Therefore, the suppression of coherent speckle noise has always been one of the fundamental issues in polarimetric SAR image processing. [0003] At present, the denoising methods of PolSAR images are mainly divided into three categories: spatial domain filtering, transform domain filtering and polarization domain filtering. Most of the filtering me...

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Problems solved by technology

[0005] The purpose of the present invention is to provide an adaptive bilateral filtering algorithm for polarimetric SAR images, to

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