CFAR Algorithm Based on Different Probability Models for Ocean Target Detection

CFAR Algorithm Based on Different Probability Models for Ocean Target Detection

The two-parameter constant false alarm rate (CFAR) detection algorithm uses the background average <inline-formula> <tex-math notation="LaTeX">$u_{b}$ </tex-math></inline-formula> and the standard deviation <inline-formula> <tex-math notation="LaTeX&qu...

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Bibliographic Details
Main Authors: Wanwu Li, Jixian Zhang, Lin Liu, Jiaxing Zhou, Qiaoli Sui, Hang Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Ocean target detection
two-parameter CFAR
loglogistic distribution
deep learning model
initial detection
Online Access:https://ieeexplore.ieee.org/document/9605628/

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