One-dimensional signal processing guided remote sensing image strip noise rapid filtering method
A signal processing and remote sensing image technology, applied in image data processing, image enhancement, instruments, etc., can solve problems such as difficulty in determining the concentrated frequency of noise, loss of information in non-strip areas, and incomplete removal of strips, etc., to achieve noise elimination, Solve the effect of insufficient correction and excessive correction
Active Publication Date: 2015-12-23
WUHAN UNIV
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Problems solved by technology
Although this type of method has high computational efficiency, it is usually difficult to determine the concentrated frequency of noise when removing strip components, so it is prone to problems such as loss of information in non-strip areas or incomplete strip removal.
The method based on the optimal model can fully consider the various characteristics of the strip noise when modeling, and the denoising image it solves often has better results, but limited by the computational complexity of the model, this type of method is not suitable for remote sensing with a large amount of data image banding
The methods based on the space domain are mostly related to matching and correction techniques, and have higher processing efficiency, but the processing results of this type of method are easily limited by the selection strategy of reference information. start, the final processing result is likely to be unsatisfactory
[0004] Although the existing band removal methods have their own characteristics, they are often difficult to simultaneously meet the requirements of processing accuracy, processing speed and method universality
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[0035] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the technology will be further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and do not to limit the present invention.
[0036] Such as figure 1 Shown, the main steps that the present invention implements can be divided into following two stages:
[0037] The first stage: calculate the correction coefficient;
[0038] Step 1. Obtain the statistical characteristic curve of the noisy image based on the local image.
[0039] In step 1.1, two matrices M and S with the same size as the original image are set to record the local feature values of the original image.
[0040] Step 1.2, in the extension direction along the strip, in pixels (x i ,y j ) as the center, r as the r...
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The invention discloses a one-dimensional signal processing guided remote sensing image strip noise rapid filtering method. Starting from the directional characteristic of strip noise, the local statistical characteristics of a noise image are acquired firstly; then the normal statistical characteristics of pixels after removing of strips are estimated via a one-dimensional signal processing method by utilizing the relatively significant local statistical characteristic difference of the strips and non-strips in one-dimensional space; and finally the estimated characteristic values act as guidance information, correction coefficient is calculated through combination of the related technologies of moment matching and segmentation processing, and strip correction of the whole image can be completed. The corresponding characteristics of the noise-free image are estimated by utilizing the local statistical characteristics of the noise image, and the local characteristics of the image and local connection of the adjacent images are fully considered so that the processing results are enabled to be more stable and reliable. Besides, the method is high in calculation efficiency and can be suitable for different types and proportions of strip noise remote sensing images so that the method has relatively high practicality.
Description
technical field [0001] The invention belongs to the technical field of optical remote sensing image processing, and in particular relates to a method for fast filtering band noise of remote sensing images under the guidance of one-dimensional signal processing. Background technique [0002] In the process of acquiring remote sensing images, due to the influence of camera performance and external environment, multi-detector imagers are prone to degradation problems such as band noise due to the inconsistent response of detectors during imaging. Among them, the appearance of strip noise will cover up the real radiation signal distribution of ground objects, directly reduce the quality of the image, and affect the subsequent interpretation of data and the accuracy of information extraction. Therefore, it is an important topic to restore the information polluted by band noise in remote sensing images. [0003] At present, the following types of methods have been developed for t...
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IPC IPC(8): G06T5/00
Inventor 刘欣鑫沈焕峰袁强强张良培
Owner WUHAN UNIV