A Hyperspectral Image Classification Approach Based on Feature Fusion and Multi-Layered Gradient Boosting Decision Trees

At present, many Deep Neural Network (DNN) methods have been widely used for hyperspectral image classification. Promising classification results have been obtained by utilizing such models. However, due to the complexity and depth of the model, increasing the number of model parameters may lead to...

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Detalles Bibliográficos
Autores principales: Xu, Shenyuan, Liu, Size, Wang, Hua, Chen, Wenjie, Zhang, Fan, Xiao, Zhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824154/
https://www.ncbi.nlm.nih.gov/pubmed/33375698
http://dx.doi.org/10.3390/e23010020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7824154/
https://www.ncbi.nlm.nih.gov/pubmed/33375698
http://dx.doi.org/10.3390/e23010020

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