Assessment of GF3 Full-Polarimetric SAR Data for Dryland Crop Classification with Different Polarimetric Decomposition Methods

Crop classification is one of the most important agricultural applications of remote sensing. Many studies have investigated crop classification using SAR data, while few studies have focused on the classification of dryland crops by the new Gaofen-3 (GF3) SAR data. In this paper, taking Hengshui ci...

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Detalles Bibliográficos
Autores principales: Wang, Meng, Liu, Changan, Han, Dongrui, Wang, Fei, Hou, Xuehui, Liang, Shouzhen, Sui, Xueyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414503/
https://www.ncbi.nlm.nih.gov/pubmed/36015848
http://dx.doi.org/10.3390/s22166087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414503/
https://www.ncbi.nlm.nih.gov/pubmed/36015848
http://dx.doi.org/10.3390/s22166087

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