Hyperspectral real-time detection method based on recursive analysis

A technology of real-time detection and recursive analysis, applied in image analysis, image data processing, instruments, etc., can solve problems such as inability to realize real-time detection, achieve real-time detection, reduce computing time, and increase operator speed

Inactive Publication Date: 2013-12-04
HARBIN ENG UNIV
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Problems solved by technology

However, the existing detection methods use first-order and second-order statistical properties, such as sampling mean and covariance matrix, to design hyperspectral an

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  • Hyperspectral real-time detection method based on recursive analysis
  • Hyperspectral real-time detection method based on recursive analysis
  • Hyperspectral real-time detection method based on recursive analysis

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[0032] Step 1: Establish the spectral vector correlation matrix R(n) of the pixels of the hyperspectral image. Assuming that the spectral vector of a hyperspectral image pixel with L bands can be expressed as an L-dimensional column vector r i =[r 1i ,r 2i ,...,R Li ] T , The correlation matrix is ​​expressed as follows:

[0033] R ( n ) = 1 n X i = 1 n r i r i T - - - ( 1 )

[0034] Where r n Is the current pixel to be detected (n th ) Spectral vector, r i =[r 1i ,r 2i ,...,R Li ] T Yes th The spectral vector of the pixel, where L is the number of bands.

[0035] Step 2: Establish the state equation of the correlation matrix R(n),

[0036] R ( n ) = n - 1 n R ( n - 1 ) + 1 n r n r n T - - - ( 2 )

[0037] In the formula, R(n-1) is the estimated value of the state at the previous moment, r n Is an observation of the current state,

[0038] A...

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Abstract

The invention relates to a hyperspectral real-time detection method based on recursive analysis. The method is characterized by including 1, establishing a spectral vector related matrix R(n) of hyperspectral image pixels; 2, establishing a state equation for the related matrix R(n), and updating an estimated value of current state according to an observed value rn of current state and an estimated value R(n-1) of previous state; 3, updating an inverse matrix R(n)-1 of the related matrix R(n) by a Woodbury identical equation; 4, detecting a hyperspectral image in real time by anomaly detection operators. In the state equation, R(n-1) refers an estimated value of the previous state, and rn refers to an observed value of the current state.

Description

technical field [0001] The invention relates to a hyperspectral real-time detection method based on recursive analysis. Background technique [0002] The emergence of hyperspectral remote sensing is a revolution in remote sensing technology. With the improvement of spectral resolution, it enables the detection of ground objects that cannot be effectively detected in multispectral remote sensing, so it has been widely used. In many practical situations, researchers always do not have enough prior knowledge to characterize the statistics of target classes, such as special species in agronomy, abnormal migration in ecology, rare minerals in geology, toxic waste in environmental monitoring Excretion and oil spills, vehicles or aircraft in the battlefield, cancer cells or tumors in medical diagnosis, etc. Therefore, anomaly detection in hyperspectral images without prior knowledge has received increasing attention. [0003] In actual anomaly detection, real-time detection is p...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 赵春晖王玉磊崔颖刘务马丽娟
Owner HARBIN ENG UNIV
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