Comparing Three Methods of Selecting Training Samples in Supervised Classification of Multispectral Remote Sensing Images

Selecting training samples is crucial in remote sensing image classification. In this paper, we selected three images—Sentinel-2, GF-1, and Landsat 8—and employed three methods for selecting training samples: grouping selection, entropy-based selection, and direct selection. We then used the selecte...

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Detalles Bibliográficos
Autores principales: Zhang, Hongying, He, Jinxin, Chen, Shengbo, Zhan, Ye, Bai, Yanyan, Qin, Yujia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610573/
https://www.ncbi.nlm.nih.gov/pubmed/37896624
http://dx.doi.org/10.3390/s23208530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610573/
https://www.ncbi.nlm.nih.gov/pubmed/37896624
http://dx.doi.org/10.3390/s23208530

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