Cargando…
Spatial Spectral Band Selection for Enhanced Hyperspectral Remote Sensing Classification Applications
Despite the numerous band selection (BS) algorithms reported in the field, most if not all have exhibited maximal accuracy when more spectral bands are utilized for classification. This apparently disagrees with the theoretical model of the ‘curse of dimensionality’ phenomenon, without apparent expl...
Autores principales: | Torres, Ruben Moya, Yuen, Peter W.T., Yuan, Changfeng, Piper, Johathan, McCullough, Chris, Godfree, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321067/ https://www.ncbi.nlm.nih.gov/pubmed/34460744 http://dx.doi.org/10.3390/jimaging6090087 |
Ejemplares similares
-
Spectral-spatial classification of hyperspectral remote sensing images
por: Benediktsson, Jon Atli, et al.
Publicado: (2015) -
Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data
por: Li, Chenming, et al.
Publicado: (2019) -
SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction
por: Zhu, Lingxuan, et al.
Publicado: (2023) -
ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery
por: Li, Na, et al.
Publicado: (2018) -
Spatial Mutual Information Based Hyperspectral Band Selection for Classification
por: Amankwah, Anthony
Publicado: (2015)