Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries

Impervious surface area (ISA) has been recognized as a significant indicator for evaluating levels of urbanization and the quality of urban ecological environments. ISA extraction methods based on supervised classification usually rely on a large number of manually labeled samples, the production of...

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Detalles Bibliográficos
Autores principales: Liu, Ximing, Samat, Alim, Li, Erzhu, Wang, Wei, Abuduwaili, Jilili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504763/
https://www.ncbi.nlm.nih.gov/pubmed/36146193
http://dx.doi.org/10.3390/s22186844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504763/
https://www.ncbi.nlm.nih.gov/pubmed/36146193
http://dx.doi.org/10.3390/s22186844

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