Local structure preserving sparse coding for infrared target recognition

Sparse coding performs well in image classification. However, robust target recognition requires a lot of comprehensive template images and the sparse learning process is complex. We incorporate sparsity into a template matching concept to construct a local sparse structure matching (LSSM) model for...

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Detalles Bibliográficos
Autores principales: Han, Jing, Yue, Jiang, Zhang, Yi, Bai, Lianfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5360252/
https://www.ncbi.nlm.nih.gov/pubmed/28323824
http://dx.doi.org/10.1371/journal.pone.0173613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5360252/
https://www.ncbi.nlm.nih.gov/pubmed/28323824
http://dx.doi.org/10.1371/journal.pone.0173613

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