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

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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Bibliographic Details
Main Authors: Hanyu Xue, Xingang Xu, Qingzhen Zhu, Guijun Yang, Huiling Long, Heli Li, Xiaodong Yang, Jianmin Zhang, Yongan Yang, Sizhe Xu, Min Yang, Yafeng Li
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
Sentinel images
object-oriented
SNIC algorithm
random forest classification
support vector machine classification
Google Earth Engine
Online Access:https://www.mdpi.com/2072-4292/15/5/1353

Internet

https://www.mdpi.com/2072-4292/15/5/1353

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