Comparing Machine Learning Algorithms for Pixel/Object-Based Classifications of Semi-Arid Grassland in Northern China Using Multisource Medium Resolution Imageries

Comparing Machine Learning Algorithms for Pixel/Object-Based Classifications of Semi-Arid Grassland in Northern China Using Multisource Medium Resolution Imageries

Knowledge of grassland classification in a timely and accurate manner is essential for grassland resource management and utilization. Although remote sensing imagery analysis technology is widely applied for land cover classification, few studies have systematically compared the performance of commo...

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Bibliographic Details
Main Authors: Nitu Wu, Luís Guilherme Teixeira Crusiol, Guixiang Liu, Deji Wuyun, Guodong Han
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
remote sensing
grassland classification
machine learning
random forest
support vector machine
Online Access:https://www.mdpi.com/2072-4292/15/3/750

Internet

https://www.mdpi.com/2072-4292/15/3/750

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