A Multi-Level Output-Based DBN Model for Fine Classification of Complex Geo-Environments Area Using Ziyuan-3 TMS Imagery

Fine-scale land use and land cover (LULC) data in a mining area are helpful for the smart supervision of mining activities. However, the complex landscape of open-pit mining areas severely restricts the classification accuracy. Although deep learning (DL) algorithms have the ability to extract infor...

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Detalles Bibliográficos
Autores principales: Li, Meng, Tang, Zhuang, Tong, Wei, Li, Xianju, Chen, Weitao, Wang, Lizhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002436/
https://www.ncbi.nlm.nih.gov/pubmed/33809792
http://dx.doi.org/10.3390/s21062089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002436/
https://www.ncbi.nlm.nih.gov/pubmed/33809792
http://dx.doi.org/10.3390/s21062089

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