Remote-senstive image interfusion method based on image local spectrum characteristic

A technology of remote sensing images and fusion methods, applied in image enhancement, image data processing, instruments, etc., can solve problems such as choosing wrong decomposition coefficients, and achieve the effect of improving resolution

Inactive Publication Date: 2005-02-16
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0008] When the maximum value criterion and the local gradient criterion are used to select wavelet coefficients, they are easily affected by isolated noise points, which may lead to the selection of wrong decomposition coefficients

Method used

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  • Remote-senstive image interfusion method based on image local spectrum characteristic
  • Remote-senstive image interfusion method based on image local spectrum characteristic
  • Remote-senstive image interfusion method based on image local spectrum characteristic

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Embodiment Construction

[0023] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below. The specific implementation details of each part are as follows:

[0024] 1. Perform IHS transformation on multispectral images:

[0025] Use the following formula to process the multispectral image, transform the multispectral image into the IHS space, and obtain the I, H, and S components of the multispectral image;

[0026] I V 1 V 2 = 1 / 3 1 / 3 1 ...

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Abstract

The present invention relates to a remote-sensing image fusion method based on image local spectral characteristics. Said method combines local correlation moment and local variance of remote-sensing image to make fusion, on the basis of making multispectral image undergo the process of IHS transformation makes I component obtained after transformation and high-spectral image undergo the process of histogram matching treatment, then makes the matched I component and high-spectral image respectively undergo the process of vavelet transformation. For low-frequency component obtained after wavelet decomposition said method adopts the fusion criterion based on local normalized correlation moment to make fusion, and for high-frequency component it adopts the fusion criterion based on variance to make fusion, then reconstructes all the wavelet components after fusion to obtain new I componnet, finally, uses new I component and original components of H and S to make IHS inverse transformation so as to obtain the fusion result.

Description

technical field [0001] The invention relates to a fusion method (LCMD method) based on the local spectral characteristics of the image and combined with the local correlation moment and local variance of the remote sensing image. has a wide range of applications. Background technique [0002] With the development of remote sensing technology, modern remote sensing systems have been able to provide users with a variety of image data with high spatial resolution, spectral resolution and time resolution. The application of remote sensing technology has gradually shifted from the analysis and application of single sensor data to multi-band, multi- Comprehensive analysis and application of sensor, multi-platform, multi-temporal, multi-resolution data. [0003] Acquisition of high-resolution satellite imagery can currently be performed in two different ways: one is a panchromatic method with high spatial resolution, and the other is a multispectral method with high spectral resol...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/20
Inventor 敬忠良杨旭红李建勋
Owner SHANGHAI JIAO TONG UNIV
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