Multistage decision fusing and classifying method for hyperspectrum and infrared data

A technology of infrared data and decision-making fusion, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., and can solve the problem of noise precision drop

Inactive Publication Date: 2012-07-18
BEIHANG UNIV
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Problems solved by technology

However, as the core input parameter in the MNF transformation-the hyperspectral data band noise covariance estimation method still has problems
Spectral and Spatial Decorrelation Method (SSDC) is currently recognized as a noise extraction algorithm with stron...

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  • Multistage decision fusing and classifying method for hyperspectrum and infrared data
  • Multistage decision fusing and classifying method for hyperspectrum and infrared data
  • Multistage decision fusing and classifying method for hyperspectrum and infrared data

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Embodiment Construction

[0064] In order to better illustrate a kind of hyperspectral and infrared data multi-level decision-making fusion classification method that the present invention relates to, utilize a piece of actual data (the hyperspectral data size is 300 * 300, and the band number is 273; Thermal infrared data is 8~13 microns Broad-band thermal infrared image, whose corresponding ground range covers the ground range corresponding to hyperspectral data) for high-precision ground object classification (8 categories: vegetation, cement ground, pool water, pool edge, white calibration cloth, black calibration cloth , metal manhole covers, shadows). like figure 1 As shown, a hyperspectral and infrared data multi-level decision-making fusion classification method of the present invention, the specific implementation steps are as follows:

[0065] (1) Read the control points from the hyperspectral and infrared data, take the hyperspectral data as the reference image, and the infrared image as th...

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Abstract

The invention discloses a multistage decision fusing and classifying method for hyperspectrum and infrared data. The multistage decision fusing and classifying method comprises the following steps of: firstly, carrying out noise suppression processing and spatial adjustment on the hyperspectrum and infrared data; secondly, establishing a hyperspectrum and infrared data combined characteristic space according to the characteristics of the hyperspectrum and infrared data; thirdly, monitoring and classifying the combined characteristic space established in the second step to obtain a ground object classification decision according to the ground object categories to be classified and a training sample; fourthly, determining ground object classes required to be subjected to small-object strengthening decision extraction according to the object size and carrying out small-object strengthening decision extraction by using the combined characteristic space established in the second step; fifthly, carrying out end member extraction and abundance estimation on hyperspectrum data subjected to noise suppression in the first step to obtain an abundance decision; and sixthly, designing a fusingrule and fusing the classification decision acquired in the third step, the small-object strengthening decision acquired in the fourth step and the abundance decision acquired in the fifth step to obtain a fusion and classifying result.

Description

technical field [0001] The invention relates to a multi-level decision fusion classification method for hyperspectral and infrared data, which belongs to the field of multi-source remote sensing data processing methods and application technology, and is suitable for research on theoretical methods and application technologies for high-precision classification of hyperspectral and infrared data. Background technique [0002] With the development and application of aerospace remote sensing technology, a multi-level, multi-angle, all-round and all-weather earth information acquisition system has gradually been established, which has brought about a rapid increase in the amount of earth observation data. How to effectively integrate these information The application of multi-source remote sensing data to complement each other is one of the hot issues in current remote sensing research. [0003] Hyperspectral remote sensing technology overcomes the limitations of traditional sing...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/40
Inventor 赵慧洁曹扬李娜
Owner BEIHANG UNIV
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