Robust Infrared Small Target Detection Using a Novel Four-Leaf Model
Article Properties
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DOI (url)
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Publication Date2024/01/01
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Indian UGC (journal)
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Refrences34
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Dali Zhou Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China ORCID (unauthenticated)
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Xiaodong Wang Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China ORCID (unauthenticated)
Cite
Zhou, Dali, and Xiaodong Wang. “Robust Infrared Small Target Detection Using a Novel Four-Leaf Model”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, 2024, pp. 1462-9, https://doi.org/10.1109/jstars.2023.3337996.
Zhou, D., & Wang, X. (2024). Robust Infrared Small Target Detection Using a Novel Four-Leaf Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 1462-1469. https://doi.org/10.1109/jstars.2023.3337996
Zhou D, Wang X. Robust Infrared Small Target Detection Using a Novel Four-Leaf Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024;17:1462-9.
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Robust principal component analysis? | Journal of the ACM |
| 2,885 | 2011 |
| A dataset for infrared detection and tracking of dim-small aircraft targets under groundair background | 2020 | |||
| 10.1364/AO.54.002255 | ||||
| 10.1109/LGRS.2020.3003267 | ||||
| 10.1117/12.213028 |