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Feature part intelligent identification method

A technology of intelligent recognition and parts, applied in scene recognition, character and pattern recognition, computer components, etc., can solve problems such as over-reliance, and achieve the effect of avoiding manual design, improving effect and increasing quantity

Active Publication Date: 2020-09-18
BEIJING INST OF CONTROL ENG
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Problems solved by technology

[0004] The technical problem solved by the present invention is: to overcome the deficiency of the existing identification technology over-reliance on known feature points, and propose an intelligent identification method for feature parts, which can realize intelligent identification of typical target parts and tactical features in a complex space environment , to provide technical support for in-orbit scene depth cognition and understanding

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Embodiment Construction

[0057] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0058] The invention provides an intelligent identification method for characteristic parts, which is suitable for the field of identification of local typical parts of space failure satellites. The traditional recognition of typical target parts based on analytical algorithms has problems such as large edge point recognition errors. The present invention designs an intelligent recognition method for local typical feature parts based on convolutional neural networks. Firstly, aiming at the task of identifying typical parts of failed satellites, a database of typical parts of satellites containing rich information is created, the components of typical parts are marked, and training data sets and test data sets are constructed. Then build a deep convolutional network and use the training data set to train the network parameters. After t...

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Abstract

The invention discloses a feature part intelligent identification method, and is suitable for the field of space failure satellite local typical part identification. The traditional target typical part identification based on an analytical algorithm has the problems of large edge point identification error and the like. The invention designs a local typical characteristic part intelligent identification method based on a convolutional neural network. Firstly, a satellite local typical part database containing rich information is created for a failure satellite local typical part recognition task, components of typical parts are labeled, and a training data set and a test data set are constructed; and then a deep convolutional network is constructed, network parameters are trained by usingthe training data set, and after the training is completed, typical parts are intelligently identified from the input image by the network.

Description

technical field [0001] The invention belongs to the field of feature recognition of space objects, and in particular relates to a method for intelligent recognition of feature parts. Background technique [0002] The protection and on-orbit service of important space targets mainly satellites have become an important development direction of aerospace technology in all countries in the world, and the identification technology of satellite characteristic components (such as antennas, sails, and engines) is a key link. With the increasing maturity of aircraft approaching technology and optical imaging technology, it is possible to use space-based platforms to perform high-resolution optical imaging of space targets, which also puts forward higher requirements for satellite target identification, especially the precise identification of satellite feature parts. demand. [0003] Space target recognition is mainly to use the space target characteristic data to effectively judge ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/62G06T3/40G06T7/62
CPCG06T3/4023G06T7/62G06V20/13G06V10/25G06F18/214
Inventor 汤亮袁利关新王有懿姚宁宗红冯骁张科备郝仁剑郭子熙刘昊龚立纲
Owner BEIJING INST OF CONTROL ENG
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