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Seed cotton mulching film online recognition algorithm based on hyperspectral imaging and deep learning

A technology of hyperspectral imaging and deep learning, applied in neural learning methods, scene recognition, character and pattern recognition, etc., can solve the problems of seed cotton mixed with mulch film, affecting the quality of textiles, textile dyeing quality, etc., to reduce the impact of noise and ensure multiple Effect of channel input advantage

Active Publication Date: 2019-08-02
NANJING FORESTRY UNIV
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Problems solved by technology

As a major cotton-producing province in my country, Xinjiang has widely used plastic film mulching technology in cotton planting, and cotton picking production is highly mechanized. During the mechanical picking process, seed cotton is mixed with a large amount of plastic film. If it is not cleaned thoroughly, it will follow the processing link. Into the lint, it will definitely affect the quality of the textile and the dyeing quality of the textile

Method used

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  • Seed cotton mulching film online recognition algorithm based on hyperspectral imaging and deep learning
  • Seed cotton mulching film online recognition algorithm based on hyperspectral imaging and deep learning
  • Seed cotton mulching film online recognition algorithm based on hyperspectral imaging and deep learning

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Embodiment Construction

[0041] Below in conjunction with specific examples, further illustrate the present invention, the examples are implemented under the premise of the technical solutions of the present invention, it should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0042] The online recognition algorithm of seed cotton mulch film based on hyperspectral imaging and deep learning of the present invention uses a hyperspectral imager to obtain the reflection spectrum image of seed cotton mulch film, and constructs a deep learning network composed of a stacked weighted autoencoder and an extreme learning machine optimized by particle swarm optimization. Spectral image online recognition, the steps of the method are as follows:

[0043](1) Use the SWIR series hyperspectral imager of Finland SPECIM company to obtain the reflection spectrum image of the seed cotton mulch film at 1000nm-2500nm, 5.6...

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Abstract

The invention discloses a seed cotton mulching film online recognition algorithm based on hyperspectral imaging and deep learning. The algorithm includes: obtaining a reflection spectrum image of theseed cotton mulching film by using a hyperspectral imager; constructing a deep learning network consisting of a stacked weighted auto-encoder and a particle swarm optimization extreme learning machine to carry out online identification on the hyperspectral image. According to the invention, the hyperspectral images of the seed cotton mulching film are classified by using a network formed by the stacked weighted auto-encoder and the extreme learning machine in deep learning, and a weighting mechanism is introduced into each layer of auto-encoder, so that the multi-channel input advantage is ensured, and the noise influence is reduced at the same time; weights and offsets of the extreme learning machine are randomly determined, overfitting is easily generated, the weights and the offsets ofthe extreme learning machine are optimized by utilizing a particle swarm algorithm, and the classification precision is improved while the recognition speed is ensured. A deep learning network formedby the stacked weighted auto-encoder and the extreme learning machine can be used for online identification of the seed cotton mulching film.

Description

technical field [0001] The invention belongs to the technical field of foreign fiber identification of seed cotton, and in particular relates to an online recognition algorithm of seed cotton mulch film based on hyperspectral imaging and deep learning. Background technique [0002] my country is a big country of cotton production and consumption, and cotton processing and weaving play an important role in the national economy. As a major cotton-producing province in my country, Xinjiang has widely used plastic film mulching technology in cotton planting, and cotton picking production is highly mechanized. During the mechanical picking process, seed cotton is mixed with a large amount of plastic film. If it is not cleaned thoroughly, it will follow the processing link. If it enters the lint, it will definitely affect the quality of the textile and the dyeing quality of the textile. At present, the mulch fragments contained in machine-picked cotton have become the fundamental ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/00G06N3/04G06N3/08
CPCG06N3/08G06N3/006G06V20/13G06N3/044G06N3/045G06F18/2411G06F18/214
Inventor 倪超张雄李振业
Owner NANJING FORESTRY UNIV
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