Low‐SNR Infrared Point Target Detection and Tracking via Saliency‐Guided Double‐Stage Particle Filter

Low‐SNR Infrared Point Target Detection and Tracking via Saliency‐Guided Double‐Stage Particle Filter

Low signal‐to‐noise ratio (SNR) infrared point target detection and tracking is crucial to study regarding infrared remote sensing. In the low‐SNR images, the intensive noise will submerge targets. In this letter, a saliency‐guided double‐stage particle filter (SGDS‐PF) formed by the searching parti...

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Bibliographic Details
Main Authors: Chen, X. (Author), Jia, L. (Author), Rao, P. (Author), Su, Y. (Author), Zhang, Y. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Double stage
Image segmentation
infrared point target
Infrared point target
infrared remote sensing
Infrared remote sensing
Low signal-to-noise ratio
Monte Carlo methods
particle filter
Particle filter
Point target detection
Point target tracking
Point targets
Potential targets
Remote sensing
Signal to noise ratio
target detection and tracking
Target detection and tracking
Target tracking
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