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Guided filtering remote sensing image fusion method based on Log-Gabor transformation and direction region entropy

A technology of remote sensing images and fusion methods, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of lack of effective measurement and constraints of spectral features of remote sensing images, poor spectral features preservation, and weak direction adaptability, etc. It achieves the effects of avoiding the interference of information such as distortion and noise patches, strong direction adaptability, and moderate computational complexity

Inactive Publication Date: 2021-08-03
LIAONING NORMAL UNIVERSITY
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Problems solved by technology

[0004] Overall, the existing technical solutions still have the disadvantages of high computational complexity, weak direction adaptability, and poor spectral feature preservation.
Moreover, because the statistical characteristics of remote sensing images are different from natural images, these schemes still lack effective measurement and constraints on the spectral characteristics of remote sensing images

Method used

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  • Guided filtering remote sensing image fusion method based on Log-Gabor transformation and direction region entropy
  • Guided filtering remote sensing image fusion method based on Log-Gabor transformation and direction region entropy
  • Guided filtering remote sensing image fusion method based on Log-Gabor transformation and direction region entropy

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Embodiment Construction

[0055] A kind of guided filtering remote sensing image fusion method based on Log-Gabor transformation and direction area entropy of the present invention, carry out according to the following steps:

[0056] Step 1. Input the multispectral image M and the panchromatic image P to be fused, and their spatial resolutions are W M ×H M , W P ×H P ;

[0057] Step 2. Use bicubic interpolation to upsample the multispectral image M to achieve a spatial resolution of W P ×H P ;

[0058] Step 3. Perform IHS transformation on the multispectral image M, extract the transformed intensity component I, and keep the H component and S component unchanged;

[0059] Step 4. Use the Log-Gabor transformation to decompose the intensity component I with a direction number of 2 and a scale of 2, thereby obtaining 4 subbands, which are respectively L 1 , L 2 , L 3 , L 4 ;

[0060] Step 5. Build a decision template Map decision , used to supervise the process of detail injection;

[0061] ...

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Abstract

The invention discloses a guided filtering remote sensing image fusion method based on Log-Gabor transformation and direction region entropy, and belongs to the field of remote sensing image processing. The method comprises the following steps: firstly, carrying out IHS transformation on a multispectral remote sensing image, and carrying out Log-Gabor decomposition on an intensity component I; secondly, carrying out self-adaptive guide filtering on the high-resolution panchromatic remote sensing image by utilizing an edge guide matrix based on direction region entropy, and extracting rich edge texture details contained in the panchromatic image according to information entropy changes of different regions of the panchromatic remote sensing image; secondly, constructing a fusion decision template by taking energy distribution of a Log-Gabor transformation coefficient as guidance, and determining detail injection intensity of an intensity component I in a fusion process according to the fusion decision template; and finally, performing inverse IHS transformation on the intensity component after detail enhancement, the original H component and the original S component, thereby obtaining a final fusion image.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a method based on Log-Gabor transform that can effectively improve the spatial resolution and spectral resolution of multispectral images, has moderate computational complexity, strong direction adaptability, and high spectral characteristic fidelity. A Guided Filter Remote Sensing Image Fusion Method with Directional Region Entropy. Background technique [0002] The fundamental task of remote sensing earth observation is to obtain geospatial information. Geospatial information includes geometric information and attribute information. Among them, geometric information includes the spatial position, size and shape of the observed object, and attribute information includes the type of observed object, reflection, transmission, and absorption characteristics of different electromagnetic spectrum segments. Only by organically combining geometric information and attribu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T3/40G06T7/90G06T7/41G06T5/00
CPCG06T5/50G06T3/4007G06T7/90G06T7/41G06T2207/20221G06T2207/10036G06T2207/10041G06T5/70
Inventor 王相海穆振华白世夫宋传鸣
Owner LIAONING NORMAL UNIVERSITY
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