An Adversarial Generative Network for Crop Classification from Remote Sensing Timeseries Images

Due to the increasing demand for the monitoring of crop conditions and food production, it is a challenging and meaningful task to identify crops from remote sensing images. The state-of the-art crop classification models are mostly built on supervised classification models such as support vector ma...

Descripció completa

Dades bibliogràfiques

Autors principals:	Jingtao Li, Yonglin Shen, Chao Yang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-12-01
Col·lecció:	Remote Sensing
Matèries:	adversarial generative network crop classification deep learning multispectral remote sensing
Accés en línia:	https://www.mdpi.com/2072-4292/13/1/65
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!