Strip repairing method based on spatial-spectral radial basis function interpolation

A restoration method and basis function technology, applied in the field of remote sensing image processing, can solve problems such as failure to achieve the effect, inability to obtain time and available known images, etc., and achieve a good restoration effect

Pending Publication Date: 2020-11-10
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the influence of clouds and fog, it is often impossible to obtain available known images close enough in time in many areas, which makes the application of the aforementioned methods sometimes fail to achieve good results

Method used

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  • Strip repairing method based on spatial-spectral radial basis function interpolation
  • Strip repairing method based on spatial-spectral radial basis function interpolation
  • Strip repairing method based on spatial-spectral radial basis function interpolation

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Embodiment

[0038] The present invention relates to a strip restoration method based on spatial spectrum radial basis function interpolation, which is used for the restoration of SLC-off strip images, by performing GLHM (Global Linear Histogram Match) preprocessing on known auxiliary images to obtain Known images that are closer to the image to be repaired in the feature space; then use the spatial spectral radial basis function to interpolate the change in reflectivity of the pixel to be repaired in time, and obtain the known image pixel and the pixel to be repaired in each band The change of reflectance between; finally, the predicted change value is added to the data of the corresponding missing pixel position on the known image to obtain the final prediction result of the missing pixel. Such as figure 1 As shown, the repair method of the present invention specifically includes the following steps:

[0039] Step 1. Implement GLHM on known images. Denote the acquisition time of the kn...

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Abstract

The invention relates to a strip restoration method based on spatial-spectral radial basis function interpolation, and the method comprises the steps: firstly carrying out global histogram matching ofa known auxiliary image to acquire a known image which is closer to a to-be-restored image in a feature space; carrying out interpolation calculation on the time reflectivity change of the to-be-restored pixel by using a space spectrum radial basis function to obtain the reflectivity change between the known image pixel of each waveband and the to-be-restored pixel; and finally, adding the predicted change value and the data of the corresponding missing pixel position on the known image to obtain a final prediction result of the missing pixel. Compared with the prior art, the invention can effectively integrate the useful information of the known image and the to-be-restored image, and has a better restoration effect.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a strip restoration method based on spatial spectrum radial basis function interpolation. Background technique [0002] Landsat series satellites including Landsat 7 provide very effective data for surface monitoring. On May 31, 2003, the ETM+ linear scan corrector (the scan-line corrector, SLC) of the Landsat 7 satellite permanently failed, causing unscanned bar gaps to appear on the acquired images. These unscanned parts account for about 22% of the entire image, seriously affecting the application of Landsat 7 satellite data in all aspects. Usually, the images acquired before the SLC failure are called SLC-on images, and the images acquired after the SLC failure are called SLC-off images. In order to solve the SLC-off problem and make the application of ETM+ more reliable, it is extremely necessary to develop corresponding theories and methods to esti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06F17/18G06F17/15G06K9/62
CPCG06T5/005G06F17/18G06F17/15G06T2207/10032G06F18/22
Inventor 王群明王蓝星
Owner TONGJI UNIV
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