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Quick target identifying method and system based on compressed sensing

A target recognition and compressed sensing technology, applied in the field of hyperspectral image processing and target recognition, can solve the problems of system large information redundancy and idle bandwidth

Active Publication Date: 2017-04-05
SHANGHAI AEROSPACE CONTROL TECH INST
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  • Description
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Problems solved by technology

But even so, the processed system still has a lot of information redundancy and idle bandwidth

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  • Quick target identifying method and system based on compressed sensing
  • Quick target identifying method and system based on compressed sensing
  • Quick target identifying method and system based on compressed sensing

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Embodiment Construction

[0089] Specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0090] Such as figure 1 As shown, it is an embodiment of the compressed sensing-based fast target recognition method disclosed in the present invention, which specifically includes the following steps:

[0091] S1. Using the spectral selection method to reduce the dimensionality of the training sample spectrum, and using the training sample to train the SVM classifier. Using hyperspectral feature recognition technology, combining unit target detection and multi-element imaging detection, and using spectral technology and imaging technology at the same time, can enable the detection unit to have target recognition capabilities, greatly improve the target recognition rate, and its anti-interference ability is very outstanding.

[0092] Such as figure 2 As shown, the spectral selection method specifically includes:

[0093] S1.1. First, select ...

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Abstract

The invention discloses a quick target identifying method and system based on compressed sensing. The method comprises steps of conducting spectrum dimensionality reduction via a spectrum selection method, sampling a target image and conducting spare transformation via a compressed sensing method, conducting compressed sensing reconstruction based on an orthogonal matching pursuit method, and identifying via an SVM classifier. Sampling and spare processing are conducted via the compressed sensing algorithm can reduce data post-calculation complexity, and can break through limitations of sampling frequency; spectrum selection and target identification algorithm are combined; with the high-spectral feature identification technology, unit target detection and multiple imaging detection can be combined; with the utilization of spectrum technology and imaging technology, the detection unit has a target identifying capacity, so target identifying rate can be improved; and target identifying time can be reduced and strong anti-jamming capability can be achieved.

Description

technical field [0001] The invention relates to the fields of hyperspectral image processing and target recognition, in particular to a method and system for fast target recognition based on compressed sensing. Background technique [0002] Compressed sensing theory is a relatively new signal processing method, which is different from the traditional signal processing of sampling first and then compressing. It performs compression and sampling at the same time, which is also the unique advantage of compressed sensing. It can break away from the performance requirements of information processing on loans, and put forward the sparse representation of the signal as a premise, and take sparsity as a basic characteristic of the signal; if a certain signal does not meet the requirements, the compressed sensing theory will fail. Fortunately, In general target recognition, the image sparsity is relatively large, so the amount of data obtained by using compressed sensing can be much ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2136G06F18/2411G06F18/214
Inventor 李大鹏卢山袁驰张翰墨苏枫
Owner SHANGHAI AEROSPACE CONTROL TECH INST
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