Method for fusing multispectral and full-color images with light cloud

A multi-spectral image, full-color image technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as image information loss, and achieve the effect of improving speed, overcoming information loss, and improving clarity

Active Publication Date: 2013-04-17
XIDIAN UNIV
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Problems solved by technology

When removing clouds and fog from images acquired by a single sensor, from the perspective of the cost of acquiring image informati

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  • Method for fusing multispectral and full-color images with light cloud
  • Method for fusing multispectral and full-color images with light cloud
  • Method for fusing multispectral and full-color images with light cloud

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Embodiment Construction

[0028] refer to figure 1 , the steps of the multispectral and panchromatic image fusion method with thin clouds of the present invention are as follows:

[0029] Step 1, upsampling the multispectral image with thin clouds, the size of the upsampled multispectral image is the same as that of the panchromatic image with thin clouds, where the original multispectral image such as figure 2 (a), denoted as Y 1 , the original panchromatic image as figure 2 (b), denoted as Y 2 .

[0030] Step 2: Sampling and Gaussian low-pass filtering are performed on the upsampled multispectral image and the original panchromatic image respectively to obtain the background image B of the multispectral image with thin clouds 1and the background image B of the full color image 2 .

[0031] 2.1) Downsampling is performed on the upsampled multispectral image and the original panchromatic image respectively, and the size of the downsampled multispectral and panchromatic image is 1 / 3 of the size ...

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Abstract

The invention provides a method for fusing multispectral and full-color images with light cloud. The problem that the cloud and mist area is interfered by a cloud layer after the multispectral and full-color images with light cloud are fused is mainly solved. The method comprises the following implementation steps of: sampling and filtering the multispectral image with light cloud, and obtaining background images of the multispectral and full-color images; respectively removing light cloud of the multispectral and full-color images with light cloud; performing PCA conversion on the multispectral image in which the cloud is removed, and performing Shearlet decomposition on the converted first principal component image and the full-color image; taking a low-frequency coefficient of the first principal component as a low-frequency coefficient of a fusion component, and taking a high-frequency coefficient of the full-color image as a high-frequency coefficient of the fusion component; and performing reversible PCA conversion on the fusion component and the other components subjected to the PCA conversion, and obtaining the fusion image. The method has the advantages of high definition of light cloud area of the fusion image and high spectrum retainability and can be used for military target recognition, weather and environment monitoring, land utilization, urban planning and prevention and reduction of natural disasters.

Description

technical field [0001] The invention belongs to the field of intelligent image processing, relates to thin cloud removal and image fusion methods, and can be used in technologies in multiple fields such as military target recognition, meteorological monitoring, environmental monitoring, land utilization, urban planning, and disaster prevention and mitigation. Background technique [0002] Since the United States implemented the Earth Resources Satellite Program in 1972, satellite technology has developed rapidly around the world. So far, major developed countries and a few developing countries in the world, including China and India, have successively launched hundreds of satellites. The operating band covers Visible light to invisible near-infrared, short-wave infrared, mid-infrared, far-infrared, microwave and other broad frequency domains. These satellites transmit massive amounts of satellite remote sensing data covering the globe to satellite ground stations and mobile ...

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Application Information

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IPC IPC(8): G06T5/50
Inventor 刘芳石程李玲玲郝红侠戚玉涛焦李成郑莹尚荣华马文萍马晶晶
Owner XIDIAN UNIV
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