Infrared Small Target Detection Based on Weighted Local Coefficient of Variation Measure
Robust infrared (IR) small target detection is critical for infrared search and track (IRST) systems and is a challenging task for complicated backgrounds. Current algorithms have poor performance on complex backgrounds, and there is a high false alarm rate or even missed detection. To address this...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2022-05-01
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| Edice: | Sensors |
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| On-line přístup: | https://www.mdpi.com/1424-8220/22/9/3462 |
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