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Space debris hyperspectral sequence detection method based on Hilbert-Huang transform

A space debris and detection method technology, applied in the field of image processing, can solve the problems of poor algorithm adaptability, space debris spin motion of space-based visible light cameras, etc., and achieve the effect of strong algorithm adaptability

Active Publication Date: 2010-12-15
HARBIN INST OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the space-based visible light camera cannot use the space debris to spin around its main axis when the traditional dangerous space debris detection method is adopted, and must rely on the sample information of the space debris image, and the algorithm has poor adaptability. Provide A space debris hyperspectral sequence detection method based on Hilbert-Huang transform

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  • Space debris hyperspectral sequence detection method based on Hilbert-Huang transform
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  • Space debris hyperspectral sequence detection method based on Hilbert-Huang transform

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specific Embodiment approach 1

[0023] Specific implementation mode one: the following combination figure 1 and figure 2 To describe this embodiment,

[0024] In 1998, NASA's Norden E Huang proposed a new algorithm for decomposing signals based on the time scale characteristics of the data itself - Hilbert-Huang Transform (HHT). Among them, Empirical Mode Decomposition (EMD) is the core step of the HHT algorithm. It uses the change of the internal time scale of the signal to analyze the energy and frequency, and expands the signal into several Intrinsic Mode Functions (Intrinsic Mode Function, IMF), and then use the Hilbert Transform (HT) to obtain the instantaneous frequency and amplitude of the IMF, and finally obtain the three-dimensional spectral distribution of time-frequency-amplitude, that is, the Hilbert spectrum.

[0025] Among them, the IMF must meet the following conditions:

[0026] 1) In the entire function, the number of extreme points is equal to or differs from the number of crossing zero...

specific Embodiment approach 2

[0082] Specific implementation mode two, the following summary Figure 1 to Figure 9 , combined with a hyperspectral rotation imaging sequence of a certain space debris model, a specific embodiment is given:

[0083] Step 1: Select multiple continuous hyperspectral data sequences of the target pixel at the center of the observed object for data synthesis to form a curve to be processed.

[0084] For 20 pieces of hyperspectral data collected continuously, call the hyperspectral curve of the pixel at the center of the target (a total of 20 segments, each segment length m is 220), then flip each segment of the hyperspectral curve left and right, and connect it after the original spectral curve , to form a new hyperspectral curve (a total of 20 segments, each with a length of 2m=440), and finally connect the 20 new spectral curves in turn to obtain a synthetic curve as the curve to be processed (such as image 3 shown, length =8800) as the one-dimensional input spectral data fo...

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Abstract

The invention relates to a space debris hyperspectral sequence detection method based on Hilbert-Huang transform, which belongs to the field of image processing and aims at solving the problems that the adoption of the traditional dangerous space debris detection method has to depend on sample information of an image about space debris, and the algorithm adaptability is poor, and the method comprises the following steps: 1) continuously sampling hyperspectral curves in the central position of a suspected target for T times, and processing and synthesizing the obtained T sections of the hyperspectral curves into the curve to be processed; 2) carrying out one-dimensional empirical mode decomposition and obtaining two intrinsic mode function components; 3) carrying out Hilbert transform on a two-order IMF component and obtaining the amplitude and the instantaneous frequency; 4) retaining the part which is higher than average value by one half of the amplitude, retaining the part which is higher than the average value of the instantaneous frequency, and dividing for forming a characteristics wave band set; and 5) cyclically searching the characteristic wave band set, judging whether the target rotates or not, if so, the suspected target can be determined to be the space debris, if not, the suspected target can be determined not to be the space debris.

Description

technical field [0001] The invention relates to a space debris hyperspectral sequence detection method based on Hilbert-Huang transformation, belonging to the field of image processing. Background technique [0002] The increasing development of aerospace technology has beneficially promoted the economic construction and social progress of all countries in the world, but at the same time, due to the enthusiasm of human beings for space development, a large number of man-made objects have been launched into space. With the increase in the number of spacecraft launches, the number of failed spacecraft, as well as space debris (space debris) formed by falling off, collisions, explosions, etc., is also increasing year by year. Large and medium-sized space debris mainly include abandoned satellites, rockets and their fallouts, etc.; small space debris mainly includes falloffs from the surface of satellites, debris ejected from engines, debris from collisions or explosions, etc. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 沈毅张淼王强王艳
Owner HARBIN INST OF TECH
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