Multispectral and high-resolution full-color image fusion method study

A multi-spectral image and high-resolution technology, applied in the field of remote sensing image fusion, can solve problems such as limited information, inability to extract sensor image data, incompleteness, etc., to maintain image spectral information, reduce spectral distortion value, and improve spatial resolution Effect

Inactive Publication Date: 2012-05-09
JIANGNAN UNIV
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Problems solved by technology

[0004] In the field of remote sensing applications, single sensor image data usually cannot extract enough information to meet the needs of some applications, and the information it can extract is limited and incomplete

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  • Multispectral and high-resolution full-color image fusion method study
  • Multispectral and high-resolution full-color image fusion method study
  • Multispectral and high-resolution full-color image fusion method study

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Embodiment Construction

[0016] Below in conjunction with accompanying drawing and specific example the present invention will be further described:

[0017] 1. Wavelet transform image fusion algorithm based on spectrum preservation

[0018] a) Fusion criterion of IHS transformation

[0019] IHS (Intensity, Hue, Saturation) represent hue, intensity, and saturation, respectively. The advantage of IHS transformation is that it can effectively separate the intensity I component of the image in the RGB model from the H and S components, and the use of high-resolution images to replace the I component in the multispectral image can increase the detailed information of the image and improve the resolution. But spectral information can be biased. In order to fuse the two more effectively and ensure the reduction of spectral loss while increasing the resolution, this paper uses the method of multi-resolution wavelet transform to decompose the I component of the multispectral image and the high-resolution im...

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Abstract

The invention discloses a novel image fusion algorithm based on combination of IHS (intensity-hue-saturation) transform and wavelet transform for effectively fusing a low-resolution multispectral image and a high-resolution full-color image. The method comprises the following steps: carrying out wavelet decomposition on a strength (I) component image and a high-resolution full-color image of a multispectral image; carrying out fusion with different standards according to respectively high and low frequency features; carrying out wavelet inverse transformation on the new formed high and low frequencies to obtain a new I component image; and finally carrying out IHS inverse transformation to obtain a final fusion image. A test result shows that the method is used for not only reducing the spectral distortion value, but also effectively increasing the spatial resolution.

Description

1. Technical field [0001] The invention belongs to the field of remote sensing image fusion, and adopts an image fusion algorithm based on spectrum-preserving wavelet transform to effectively fuse low-resolution multispectral images and high-resolution panchromatic images. The invention not only reduces the spectral distortion value, but also effectively improves the spatial resolution. 2. Background technology [0002] Image fusion is an important part of information fusion, and it has broad application prospects in medicine, remote sensing, computer vision, weather forecast and military target recognition. For multi-satellite remote sensing data, the definition of image fusion can be described as: spatially register the image data of the same area acquired by different types of sensors, and then use a certain algorithm to organically integrate the information advantages or complementarities contained in each image data. Techniques that combine to produce new image data. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 彭力温黎茗
Owner JIANGNAN UNIV
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