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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...
Autores principales: | Rao, Junmin, Mu, Jing, Li, Fanming, Liu, Shijian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101872/ https://www.ncbi.nlm.nih.gov/pubmed/35591152 http://dx.doi.org/10.3390/s22093462 |
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