Cargando…
Infrared Target Detection Based on Joint Spatio-Temporal Filtering and L1 Norm Regularization
Infrared target detection is often disrupted by a complex background, resulting in a high false alarm and low target recognition. This paper proposes a robust principal component decomposition model with joint spatial and temporal filtering and L1 norm regularization to effectively suppress the comp...
Autores principales: | Xu, Enyong, Wu, Anqing, Li, Juliu, Chen, Huajin, Fan, Xiangsuo, Huang, Qibai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413064/ https://www.ncbi.nlm.nih.gov/pubmed/36016018 http://dx.doi.org/10.3390/s22166258 |
Ejemplares similares
-
Dim and Small Target Detection with a Combined New Norm and Self-Attention Mechanism of Low-Rank Sparse Inversion
por: Min, Lei, et al.
Publicado: (2023) -
Gradient Projection with Approximate L(0) Norm Minimization for Sparse Reconstruction in Compressed Sensing
por: Wei, Ziran, et al.
Publicado: (2018) -
Multivariate Kalman filtering for spatio-temporal processes
por: Ferreira, Guillermo, et al.
Publicado: (2022) -
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
por: Kargas, Nikos, et al.
Publicado: (2020) -
Sea Clutter Suppression and Target Detection Algorithm of Marine Radar Image Sequence Based on Spatio-Temporal Domain Joint Filtering
por: Wen, Baotian, et al.
Publicado: (2022)