Cargando…
Pairwise Elastic Net Representation-Based Classification for Hyperspectral Image Classification
The representation-based algorithm has raised a great interest in hyperspectral image (HSI) classification. [Formula: see text]-minimization-based sparse representation (SR) attempts to select a few atoms and cannot fully reflect within-class information, while [Formula: see text]-minimization-based...
Autores principales: | Li, Hao, Zhang, Yuanshu, Ma, Yong, Mei, Xiaoguang, Zeng, Shan, Li, Yaqin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392166/ https://www.ncbi.nlm.nih.gov/pubmed/34441096 http://dx.doi.org/10.3390/e23080956 |
Ejemplares similares
-
A Robust Sparse Representation Model for Hyperspectral Image Classification †
por: Huang, Shaoguang, et al.
Publicado: (2017) -
Improved Classification Method Based on the Diverse Density and Sparse Representation Model for a Hyperspectral Image
por: Li, Na, et al.
Publicado: (2019) -
Hyperspectral image spectral-spatial classification via weighted Laplacian smoothing constraint-based sparse representation
por: Chen, Eryang, et al.
Publicado: (2021) -
NHL Pathological Image Classification Based on Hierarchical Local Information and GoogLeNet-Based Representations
por: Bai, Jie, et al.
Publicado: (2019) -
Hyperspectral Image Classification with Spatial Filtering and ℓ(2,1) Norm
por: Li, Hao, et al.
Publicado: (2017)