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
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[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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