Photoelectric Target Detection Algorithm Based on NVIDIA Jeston Nano

This paper proposes a photoelectric target detection algorithm for NVIDIA Jeston Nano embedded devices, exploiting the characteristics of active and passive differential images of lasers after denoising. An adaptive threshold segmentation method was developed based on the statistical characteristics...

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Detalles Bibliográficos
Autores principales: Zhang, Shicheng, Zhang, Laixian, Sun, Huayan, Guo, Huichao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500684/
https://www.ncbi.nlm.nih.gov/pubmed/36146402
http://dx.doi.org/10.3390/s22187053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500684/
https://www.ncbi.nlm.nih.gov/pubmed/36146402
http://dx.doi.org/10.3390/s22187053

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