Remote-sensing image mixing method based on local statistical property and colour space transformation

A color space and remote sensing image technology, applied in the field of remote sensing image fusion, can solve the problems of unusable object recognition and inversion work, and achieve the effect of easy interpretation and improved spatial resolution

Inactive Publication Date: 2004-04-14
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The fusion of images can improve the effect of visual interpretation and improve the accuracy of classification and mapping, but it cannot be used for object recognition and inversion

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  • Remote-sensing image mixing method based on local statistical property and colour space transformation
  • Remote-sensing image mixing method based on local statistical property and colour space transformation
  • Remote-sensing image mixing method based on local statistical property and colour space transformation

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Embodiment Construction

[0027] 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:

[0028] 1. Perform IHS transformation on multispectral images:

[0029] The multispectral image is processed by the commonly used IHS transformation method, and the multispectral image is transformed into the IHS space to obtain the I, H, and S components of the multispectral image; in the IHS space, the H and S components are kept unchanged, and the The I component is processed.

[0030] 2. Use a Gaussian low-pass filter to filter the I component of the multispectral image

[0031] 1) Use a window of size w×h to filter the multispectral image according to formula (1) (in actual calculation, the window size can be 5×5, 9×9, 15×15, etc.).

[0032] L ‾ ( i , ...

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Abstract

The invented method processes remote sensing image through following steps. Based on IHS transform of multiple spectrum images, using statistic characteristics of remote sensing image, lowpass filtering is carried out for I-component of multiple spectrum images. Meanwhile, highpass filtering is carried out for panchromatic remote sensing image with high spatial resolution. Through histogram matching in local window, gray scale mapping is carried out one pixel by one pixel for value of pixel in panchromatic image with high resolution according to position of pixel. Thus, syncretic I-component is obtained. Then, IHS inverse transform is carried out so as to obtain syncretic result. The invention possesses advantages of retaining spectrum information of multiple spectrum images, raising spatial resolution, accurate decrypting features of ground object so that the invention is more suitable to each application and easy of interpretation.

Description

Technical field: [0001] The invention relates to a remote sensing image fusion method (LSC method) based on local statistical characteristics and color space transformation (IHS transformation), which is a pixel-level image fusion method in the field of image analysis and has a wide range of applications in agriculture, military and other fields. 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 m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/20G06T5/40
Inventor 敬忠良杨旭红李建勋
Owner SHANGHAI JIAO TONG UNIV
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