Dryland Crop Classification Combining Multitype Features and Multitemporal Quad-Polarimetric RADARSAT-2 Imagery in Hebei Plain, China

The accuracy of dryland crop classification using satellite-based synthetic aperture radar (SAR) data is often unsatisfactory owing to the similar dielectric properties that exist between the crops and their surroundings. The main objective of this study was to improve the accuracy of dryland crop (...

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Detalles Bibliográficos
Autores principales: Wang, Di, Liu, Chang-An, Zeng, Yan, Tian, Tian, Sun, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825298/
https://www.ncbi.nlm.nih.gov/pubmed/33419022
http://dx.doi.org/10.3390/s21020332

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825298/
https://www.ncbi.nlm.nih.gov/pubmed/33419022
http://dx.doi.org/10.3390/s21020332

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