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Variable coefficient and local entropy combined driving radar image non-local mean value method

A non-local mean and coefficient of variation technology, applied in image enhancement, image analysis, image data processing, etc., can solve difficult problems such as coherent speckle suppression performance, and achieve good edge preservation characteristics and good smoothing performance

Pending Publication Date: 2020-02-28
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

[0005] Although the above method can make NLM adaptive to a certain extent, it still needs to select some parameters empirically for the whole image, and it is difficult to guarantee good speckle suppression performance for the edge area and smooth area in the SAR image.

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  • Variable coefficient and local entropy combined driving radar image non-local mean value method
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  • Variable coefficient and local entropy combined driving radar image non-local mean value method

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[0061] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0062] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circ...

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Abstract

The invention provides a variable coefficient and local entropy combined driving radar image non-local mean value method, the pixel value of a current pixel point is solved according to the current pixel weight value and the value of each pixel in a search window, and the current pixel weight value is determined according to the ratio distance and the attenuation coefficient corresponding to eachpixel point. Compared with an existing speckle suppression method, the method has better smoothness in a uniform region, can also have good edge retention characteristics in an edge region, and also has a better effect in the aspect of image visualization.

Description

technical field [0001] The invention relates to the technical field of synthetic aperture radar image extraction, in particular to a method for jointly driving a non-local mean value of a radar image by a coefficient of variation and local entropy. Background technique [0002] Synthetic Aperture Radar (SAR) has been widely used in environmental monitoring, land resource monitoring and disaster assessment because of its all-weather working characteristics. However, due to the inherent coherent imaging mechanism of SAR images, there are coherence spots in SAR images, and coherence spots make it difficult to interpret SAR images. Among the speckle suppression methods, Nonlocal-Means (NLM), as an effective method, has attracted extensive attention of scholars at home and abroad. [0003] At present, a key problem in the non-local mean algorithm is parameter adaptation, the core of which is the attenuation coefficient. Hu and Zeng use structure tensors to select adaptive block...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10044G06T5/70
Inventor 史晓非李光鑫吕苗邓志宇倪魁元张新鹏刘茜格王飞龙朱程
Owner DALIAN MARITIME UNIVERSITY
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