Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery

Deep learning models are widely employed in hyperspectral image processing to integrate both spatial features and spectral features, but the correlations between them are rarely taken into consideration. However, in hyperspectral mineral identification, not only the spectral and spatial features of...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Huijie, Deng, Kewang, Li, Na, Wang, Ziwei, Wei, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730013/
https://www.ncbi.nlm.nih.gov/pubmed/33266267
http://dx.doi.org/10.3390/s20236854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730013/
https://www.ncbi.nlm.nih.gov/pubmed/33266267
http://dx.doi.org/10.3390/s20236854

Ejemplares similares