ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery

The diverse density (DD) algorithm was proposed to handle the problem of low classification accuracy when training samples contain interference such as mixed pixels. The DD algorithm can learn a feature vector from training bags, which comprise instances (pixels). However, the feature vector learned...

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Detalles Bibliográficos
Autores principales: Li, Na, Xu, Zhaopeng, Zhao, Huijie, Huang, Xinchen, Li, Zhenhong, Drummond, Jane, Wang, Daming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877212/
https://www.ncbi.nlm.nih.gov/pubmed/29510547
http://dx.doi.org/10.3390/s18030780

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877212/
https://www.ncbi.nlm.nih.gov/pubmed/29510547
http://dx.doi.org/10.3390/s18030780

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