Object-Oriented Crop Classification Using Time Series Sentinel Images from Google Earth Engine

The resulting maps of land use classification obtained by pixel-based methods often have salt-and-pepper noise, which usually shows a certain degree of cluttered distribution of classification image elements within the region. This paper carries out a study on crop classification and identification...

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Detalles Bibliográficos

Principais autores:	Hanyu Xue, Xingang Xu, Qingzhen Zhu, Guijun Yang, Huiling Long, Heli Li, Xiaodong Yang, Jianmin Zhang, Yongan Yang, Sizhe Xu, Min Yang, Yafeng Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-02-01
Series:	Remote Sensing
Assuntos:	Sentinel images object-oriented SNIC algorithm random forest classification support vector machine classification Google Earth Engine
Acceso en liña:	https://www.mdpi.com/2072-4292/15/5/1353
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