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High spectrum sub-pixel target detection method and device

A target detection and hyperspectral technology, applied in the field of hyperspectral remote sensing detection, can solve the problems of slow speed and low target detection accuracy

Inactive Publication Date: 2008-03-19
BEIHANG UNIV
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Problems solved by technology

[0008] In view of this, the main purpose of the present invention is to provide a hyperspectral sub-pixel target detection method and device to solve the problem that the sub-pixel target detection method in the prior art requires background endmember spectral prior information, and the accuracy of target detection Lower and slower flaws

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  • High spectrum sub-pixel target detection method and device
  • High spectrum sub-pixel target detection method and device

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Embodiment Construction

[0060] Below in conjunction with accompanying drawing and specific embodiment, technical scheme of the present invention is described in further detail:

[0061] As shown in Figure 1, Figure 1 is a flow chart of a hyperspectral sub-pixel target detection method of the present invention, which mainly includes the following steps:

[0062] Step 101, establishing an inverse model of the target spectrum and the two-dimensional matrix of the pixel spectrum of the image to be measured.

[0063] First, the three-dimensional hyperspectral data of the image pixel to be tested is expressed as a two-dimensional matrix of hyperspectral reflectance. The three-dimensional hyperspectral data of the image pixel to be tested is obtained by the imaging spectrometer, which can obtain a photosensitive image in each band, and the cube formed by superimposing images of a series of continuous bands is the hyperspectral image. The hyperspectral image includes two-dimensional information in the image...

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Abstract

The present invention discloses a high spectrum sub-pixel object detecting method. The method includes that: a reverse model of the objective spectrum and the pixel spectrum two-dimensional matrix of the image needing to be detected is created, the regression coefficient vector of the reverse model is acquired; the Mahalanobis distance of each pixel is acquired according to the regression coefficient vector; the pixel corresponding to the regression coefficient of the Mahalanobis distance being greater than the threshold is determined as the sub-pixel objective point. The present invention also provides a high spectrum sub-pixel object detecting device, the sub-pixel object detecting method and the device thereof using the present invention need the prior information of the background terminal spectrum; are not sensitive to the complexity of the background spectrum; and have higher object detecting accuracy and faster operation speed.

Description

technical field [0001] The invention relates to the technical field of hyperspectral remote sensing detection, in particular to a hyperspectral sub-pixel target detection method and device. Background technique [0002] Hyperspectral remote sensing is one of the most important technological breakthroughs in the Earth observation system at the end of the 20th century. Intervals and a large number of bands provide remote sensing information, which can subdivide and identify ground objects from spectral space, and have been widely used in resource remote sensing, environmental remote sensing, ecological remote sensing and other fields. The most important feature of hyperspectral remote sensing data is the integration of traditional image dimension and spectral dimension information. While obtaining surface space images, continuous spectral information of each surface object can be obtained. The spectral information can reflect the weak Subtle differences in target and backgrou...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/89G01S7/48G01J3/28
Inventor 李庆波张广军聂鑫
Owner BEIHANG UNIV
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