A Correlation-Based Joint CFAR Detector Using Adaptively-Truncated Statistics in SAR Imagery

Traditional constant false alarm rate (CFAR) detectors only use the contrast information between ship targets and clutter, and they suffer probability of detection (PD) degradation in multiple target situations. This paper proposes a correlation-based joint CFAR detector using adaptively-truncated s...

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Detalles Bibliográficos
Autores principales: Ai, Jiaqiu, Yang, Xuezhi, Zhou, Fang, Dong, Zhangyu, Jia, Lu, Yan, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419799/
https://www.ncbi.nlm.nih.gov/pubmed/28346395
http://dx.doi.org/10.3390/s17040686

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419799/
https://www.ncbi.nlm.nih.gov/pubmed/28346395
http://dx.doi.org/10.3390/s17040686

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