NSCT based integral adjustment remote sensing image super-resolution reconstruction method

A super-resolution reconstruction and remote sensing image technology, applied in the field of NSCT-based integral adjustment remote sensing image super-resolution reconstruction, can solve the problem of useless and full use of high-frequency image information, and achieve strong reconstruction ability and good robustness Effect

Inactive Publication Date: 2018-09-18
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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  • Claims
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AI Technical Summary

Problems solved by technology

There have been some researches on the use of NSCT for super-resolution reconstruction, but the current method only simply processes the high-frequency information decomposed by NSCT, and does not make full use of the high-frequency information of each image.

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  • NSCT based integral adjustment remote sensing image super-resolution reconstruction method
  • NSCT based integral adjustment remote sensing image super-resolution reconstruction method
  • NSCT based integral adjustment remote sensing image super-resolution reconstruction method

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Embodiment 1

[0044] An NSCT-based integral adjustment remote sensing image super-resolution reconstruction method includes the following steps: 1) setting the NSCT transformation series N and the direction number 2N, performing NSCT decomposition on at least two original remote sensing images a and b to obtain NSCT coefficients.

[0045] NSCT can achieve true multi-resolution analysis by combining non-subsampling directional filters and tower filters. The downsampling process of the data is replaced by the downsampling of the filter, so that the size of the decomposed image will not change. The process is as figure 1 and figure 2 Shown:

[0046] The image is decomposed into N layers by NSCT to obtain 1 low-frequency sub-image and 2N high-frequency sub-images. pass figure 1 It can be seen that the number of directions of the directional filter is determined by the number of decomposition layers, and when performing N-layer decomposition, it corresponds to 2N directions. This decomposi...

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Abstract

Nonsubsampled contourlet transform (NSCT) has real multi-scale and multi-directional analysis, and has been widely used in remote sensing image fusion. The NSCT has been studied for super-resolution reconstruction. However, present methods only simply process high frequency information after being decomposed by the NSCT, and do not make full use of the high frequency information of each image. Therefore, the method of the invention uses the NSCT to decompose, the obtained high and low frequency sub-bands are interpolated by upper sampling and then subjected to integral adjustment, an integraladjustment model is established by using pixel points and surrounding points, the time resolution of each image is converted to spatial resolution by using a least square principle of measurement adjustment, and so the super-resolution reconstruction of the images is realized. The experiment results show that the novel method has better reconstruction ability than conventional common methods, andthe method shows strong robustness in the condition that remote sensing images contain common mixed noise.

Description

technical field [0001] The invention relates to a remote sensing image processing method, in particular to an NSCT-based integral adjustment remote sensing image super-resolution reconstruction method. Background technique [0002] Nonsubsampled Contourlet Transform (NSCT) has true multi-scale and multi-directional analysis, and has been widely used in remote sensing image fusion. There have been some studies on the use of NSCT for super-resolution reconstruction, but the current method only simply processes the high-frequency information decomposed by NSCT, and does not make full use of the high-frequency information of each image. Contents of the invention [0003] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, and provide a method for super-resolution reconstruction of remote sensing images based on NSCT with strong super-resolution reconstruction capability and good robustness. [0004] A NSCT-based integr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40
CPCG06T3/4053
Inventor 周璀周靖鸿
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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