A Fast Filtering Method for Stripe Noise in Remote Sensing Image Guided by One-Dimensional Signal Processing
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 frequency of noise concentration, loss of information in non-stripe areas, and incomplete stripe removal. Solve the effect of over-correction and under-correction
Active Publication Date: 2018-01-12
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 fast filtering method of strip noise in remote sensing image under the guidance of one-dimensional signal processing. In one-dimensional space, the difference in statistical characteristics is more prominent, and the normal statistical characteristics of pixels after stripping are estimated by one-dimensional signal processing; finally, these estimated characteristic values are used as guiding information, combined with moment matching and block processing. The related technology calculates the correction coefficient to complete the band correction of the whole image. The invention utilizes the local statistical features of the noise image to predict the corresponding features of the noise-free image, and fully considers the local characteristics of the image and the connection between adjacent image parts, so that the processing result is more stable and reliable. Moreover, the method has high computational efficiency, can be applied to remote sensing images with different types and proportions of band noise, and has strong practicability.
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 刘欣鑫沈焕锋袁强强张良培
Owner WUHAN UNIV