Infrared ship-target recognition based on SVM classification
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2016/01/01
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Journal
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Indian UGC (journal)
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Citations3
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张迪飞 Zhang Difei
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张金锁 Zhang Jinsuo
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姚克明 Yao Keming
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成明伟 Cheng Minwei
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吴永国 Wu Yongguo
Cite
Zhang Difei 张迪飞, et al. “Infrared Ship-Target Recognition Based on SVM Classification”. Infrared and Laser Engineering, vol. 45, no. 1, 2016, p. 0104004, https://doi.org/10.3788/irla201645.0104004.
Zhang Difei 张., Zhang Jinsuo 张., Yao Keming 姚., Cheng Minwei 成., & Wu Yongguo 吴. (2016). Infrared ship-target recognition based on SVM classification. Infrared and Laser Engineering, 45(1), 0104004. https://doi.org/10.3788/irla201645.0104004
Zhang Difei 张迪飞, Zhang Jinsuo 张金锁, Yao Keming 姚克明, Cheng Minwei 成明伟, and Wu Yongguo 吴永国. “Infrared Ship-Target Recognition Based on SVM Classification”. Infrared and Laser Engineering 45, no. 1 (2016): 0104004. https://doi.org/10.3788/irla201645.0104004.
Zhang Difei 张, Zhang Jinsuo 张, Yao Keming 姚, Cheng Minwei 成, Wu Yongguo 吴. Infrared ship-target recognition based on SVM classification. Infrared and Laser Engineering. 2016;45(1):0104004.
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Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 结合多特征融合和极限学习机的红外图像目标分类方法 | Infrared and Laser Engineering | 2022 | ||
| 基于分类器决策融合的红外图像目标识别方法 | Infrared and Laser Engineering | 2022 | ||
Detecting Maturity in Fresh Lycium barbarum L. Fruit Using Color Information | Horticulturae |
| 7 | 2021 |
Citations Analysis
| Category | Category Repetition |
|---|---|
| Agriculture: Plant culture | 1 |
| Science: Botany: Plant ecology | 1 |
| Agriculture | 1 |
| Agriculture: Agriculture (General) | 1 |
The category
Agriculture: Plant culture 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Detecting Maturity in Fresh Lycium barbarum L. Fruit Using Color Information and was published in 2021. The most recent citation comes from a 2022 study titled 基于分类器决策融合的红外图像目标识别方法. This article reached its peak citation in 2022, with 2 citations. It has been cited in 2 different journals, 50% of which are open access. Among related journals, the Infrared and Laser Engineering cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.