Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm | Zendy

Gong Mei-tao | Zendy

Open Access

Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm

Author(s) -

Gong Mei-tao

Publication year - 2021

Publication title -

advances in multimedia

Language(s) - English

Resource type - Journals

eISSN - 1687-5699

pISSN - 1687-5680

DOI - 10.1155/2021/6337431

Subject(s) - piecewise , piecewise linear function , linear discriminant analysis , computer science , algorithm , classifier (uml) , artificial intelligence , infrared , signal (programming language) , discriminant , pattern recognition (psychology) , mathematics , optics , physics , mathematical analysis , geometry , programming language

According to the basic principle of piecewise linear classifier and its application in the field of infrared chemical remote sensing monitoring, the characteristics of unilateral piecewise linear classifier applied to the infrared spectrum identification of chemical agents are studied. With the characteristic of separate transmission, the characteristic recovery with the total observed deviation is used for the model. The relaxation factors are used to replace the constrained conditions that cannot be optimized into constrained separate line segment calculation conditions. Experiments show that the result of signal recovery is better than traditional Wiener filtering and Richardson–Lucy methods.

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