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Fusion method of multispectral image and panchromatic image based on multilayer interband structure model

A multi-spectral image, panchromatic image technology, applied in the field of multi-spectral image and panchromatic image fusion, can solve the problems of the limitation of single-layer detail image, achieve high average gradient, small error, and maintain the effect of spectral information

Active Publication Date: 2018-12-11
NAT INST OF ADVANCED MEDICAL DEVICES SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of the limitations of the single-layer detail image when describing the inter-band relationship in the process of establishing the ARSIS model, and propose a multi-spectral image and panchromatic image based on the multi-layer inter-band structure model fusion method

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  • Fusion method of multispectral image and panchromatic image based on multilayer interband structure model
  • Fusion method of multispectral image and panchromatic image based on multilayer interband structure model
  • Fusion method of multispectral image and panchromatic image based on multilayer interband structure model

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specific Embodiment approach 1

[0027] The multi-spectral image and panchromatic image fusion method based on the multi-layer interband structure model in this embodiment, combined figure 1 Shown method flow, described method realizes through the following steps:

[0028] For the input image MS to be fused LR and high-resolution panchromatic image PAN;

[0029] Step 1: Convert the low-resolution multispectral image to MS LR Use the bilinear interpolation method to resample to the panchromatic image PAN image size, and the image to be fused MS LR The mean image of as the mean image z 1LR ;

[0030] Step 2. For the mean image z 1LR and the image to be fused MS LR Carry out GS orthogonal transformation, the mean image z 1LR The transformed image is denoted as a low-resolution multispectral image with scale 2 That is, layer 2 approximates low-resolution multispectral images

[0031] Step 3: Use static wavelet transform SWT to approximate the low-resolution multispectral image on the second layer Pe...

specific Embodiment approach 2

[0039] The difference from the specific embodiment 1 is that in the multi-spectral image and panchromatic image fusion method based on the multi-layer interband structure model in this embodiment, the low-resolution multi-spectral image MS LR Use the bilinear interpolation method to resample to the size of the high-resolution panchromatic image PAN image, and the image MS to be fused LR The mean image of as the mean image z 1LR The process is, for low-resolution multispectral images MS LR The images of each band are summed, divided by the number of band images, and the mean image is generated as z 1 image

specific Embodiment approach 3

[0040] The difference from the first or second specific embodiment is that in the multi-spectral image and panchromatic image fusion method based on the multi-layer interband structure model in this embodiment, the mean value image z as described in step two 1LR and the image to be fused MS LR Carry out GS orthogonal transformation, the mean image z 1LR The transformed image is denoted as a low-resolution multispectral image with scale 2 That is, layer 2 approximates the low-resolution multispectral image The general process is that the general ARSIS model is usually directly applied to each band of the multispectral image, and there are also studies that first perform principal component transformation (PCA) on the multispectral image and apply the ARSIS model to the first principal component. Research shows that the Gram-Schmidt spectral sharpening (GS) method can produce better results for multispectral image fusion. therefore,

[0041] Step 21, the low-resolution mul...

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Abstract

The invention discloses a multispectral image and a full-color image fusion method based on a multilayer inter-band structural model, and belongs to the field of image fusion methods. The invention aims at solving a problem of the limitation of a single-layer detailed image in description of an inter-band relation in a process of building an ARSIS model. The method comprises the steps: enabling a low-resolution multispectral image MSLR to be resampled to the size of a PAN image, and enables the mean value of the low-resolution multispectral image MSLR to serve as a zlLR image; carrying out the GS orthogonal transformation of the images zlLR and MSLR, marking the image zlLR with a symbol (shown in the description), and building an MSM (multi-scale model) through SWT; dividing all approximation images and detail images in the MSM into 64*64 image blocks; calculating a global SSIM of the marked images (shown in the description), calculating a local SSIM of each image block, solving a value (shown in the description) through a defined model, obtaining a value (shown in the description) through SWT reverse transformation, and carrying out GS reverse transformation after obtaining a zlHR; and outputting a high-resolution multispectral image MSHR. The method effectively improves the spatial resolution of the multispectral image, and achieves the full-color sharpening of the multispectral image.

Description

technical field [0001] The invention relates to a multi-spectral image and panchromatic image fusion method based on a multi-layer interband structure model. Background technique [0002] The ARSIS model refers to a fusion method that improves the spatial resolution of images by injecting structural information. Since the spectral information of a multispectral image is generally represented by its low-frequency part, its spatial information is represented by its high-frequency part. Therefore, there is a significant advantage in maintaining the spectral characteristics. The core of the ARSIS model is the multiscale model (MSM) and the interband structure model (IBSM). In the multi-scale model, the IBSM of the low-resolution detailed image of the multispectral image is established to accurately describe the missing high-resolution detailed information. Existing interband structure models usually use low-resolution single-layer detailed sub-images to construct IBSM, but th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
CPCG06T3/4061
Inventor 张钧萍陆小辰李彤
Owner NAT INST OF ADVANCED MEDICAL DEVICES SHENZHEN