Remote-sensing image stripe noise removing method based on segmented correction

A band noise and remote sensing image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of excessive band noise correction, uneven gray scale transformation, unsatisfactory effect, etc., and achieve good denoising results , Efficient removal effect

Active Publication Date: 2013-04-03
广西壮族自治区自然资源信息中心
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Problems solved by technology

Although the spatial domain matching method has a high rate of strip noise removal, the effect is not ideal, so further research is needed
[0005] There are usually different types of ground objects in the image, and there are also uneven grayscale transformations in the ...

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  • Remote-sensing image stripe noise removing method based on segmented correction

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Embodiment Construction

[0024] The technical solution of the present invention can adopt computer software technology to realize the automatic operation process. The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0025] Based on the combination of different types of ground objects and the change of the gray value of the ground objects, it is proposed to remove the segmented strip noise of the image, that is, the denoising method of the present invention. Such as figure 1 Shown, the main steps that the present invention implements can be divided into three stages:

[0026] The first stage: find the boundaries of different types of ground objects: divide the image to be processed into uniform areas and complex areas according to the distribution of ground objects, and extract the boundary pixels of the uniform area and the complex area to form a boundary array A 1 .

[0027] 1) Take each pixel in the row or column whe...

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Abstract

The invention provides a remote-sensing image stripe noise removing method based on segmented correction. A method that an image can be divided into a uniform region and a non-uniform region according to distribution phenomena of different ground objects is designed, the other method that a region can be divided into areas with different gray levels according to different gray level values of the region scanned by a detecting element is designed, one image (scanning imaging in rows or columns) can be divided into different intervals in columns or rows by the two methods, stripe noises of the different intervals are sectionally removed by common spatial domain denoising methods of moment matching, histogram matching and the like, categories of the different ground objects are considered, gray level value influences caused by external radiation changes and the like are combined, ground object categories and spectral characteristics are simultaneously considered in the obtained result, the obtained result is close to authentic data, the computational efficiency is high, and the computation is steady. The method can be well applied to removing stripe noises in the remote-sensing images.

Description

technical field [0001] The invention relates to the technical field of optical remote sensing image processing, in particular to a method for removing band noise from an optical image acquired by a sensor of a remote sensing platform. Background technique [0002] The acquisition of optical remote sensing images is affected by the radiation characteristics of CCD detectors and random factors, causing many problems in optical remote sensing satellite images, such as motion blur, gray scale degradation, band noise, etc., among which band noise is the most significant . Striping noise is mostly caused by temperature changes and differences in detector materials, resulting in different transfer functions of each detector, resulting in differences in the detector's response to electromagnetic radiation and the performance of electronic devices, making adjacent Scan lines produce inconsistencies in brightness. [0003] Banding noise is unavoidable in any sensor data acquired usi...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 沈焕锋姜湾张良培袁强强
Owner 广西壮族自治区自然资源信息中心
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