Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm
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 char...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2021/6337431 |
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| _version_ | 1832561496502042624 |
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| author | Meitao Gong |
| author_facet | Meitao Gong |
| author_sort | Meitao Gong |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5aadb149b5d74b8dbb661b7394949047 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-5aadb149b5d74b8dbb661b73949490472025-02-03T01:24:52ZengWileyAdvances in Multimedia1687-56801687-56992021-01-01202110.1155/2021/63374316337431Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant AlgorithmMeitao Gong0Jining Normal University, Inner Mongolia, Jining, Key Laboratory of High Speed Signal Processing and Internet of Things Technology and Application in Jining Normal University, ChinaAccording 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.http://dx.doi.org/10.1155/2021/6337431 |
| spellingShingle | Meitao Gong Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm Advances in Multimedia |
| title | Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm |
| title_full | Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm |
| title_fullStr | Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm |
| title_full_unstemmed | Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm |
| title_short | Multimedia Digital Signal Processing of Infrared Chemical Remote Sensing Based on Piecewise Linear Discriminant Algorithm |
| title_sort | multimedia digital signal processing of infrared chemical remote sensing based on piecewise linear discriminant algorithm |
| url | http://dx.doi.org/10.1155/2021/6337431 |
| work_keys_str_mv | AT meitaogong multimediadigitalsignalprocessingofinfraredchemicalremotesensingbasedonpiecewiselineardiscriminantalgorithm |