Combinations of Feature Selection and Machine Learning Models for Object-Oriented “Staple-Crop-Shifting” Monitoring Based on Gaofen-6 Imagery

Combinations of Feature Selection and Machine Learning Models for Object-Oriented “Staple-Crop-Shifting” Monitoring Based on Gaofen-6 Imagery

This paper combines feature selection with machine learning algorithms to achieve object-oriented classification of crops in Gaofen-6 remote sensing images. The study provides technical support and methodological references for research on regional monitoring of food crops and precision agriculture...

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Bibliographic Details
Main Authors: Yujuan Cao, Jianguo Dai, Guoshun Zhang, Minghui Xia, Zhitan Jiang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Agriculture
Subjects:
Gaofen-6
crop classification
feature selection
object-oriented
machine learning
remote sensing
Online Access:https://www.mdpi.com/2077-0472/14/3/500

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