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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Detalles Bibliográficos
Autores principales: Rao, Junmin, Mu, Jing, Li, Fanming, Liu, Shijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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