A Land Use Classification Model Based on Conditional Random Fields and Attention Mechanism Convolutional Networks

A Land Use Classification Model Based on Conditional Random Fields and Attention Mechanism Convolutional Networks

Land use is used to reflect the expression of human activities in space, and land use classification is a way to obtain accurate land use information. Obtaining high-precision land use classification from remote sensing images remains a significant challenge. Traditional machine learning methods and...

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Bibliographic Details
Main Authors: Kang Zheng, Haiying Wang, Fen Qin, Zhigang Han
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
attention mechanism
convolutional neural networks
conditional random fields
land use classification
Online Access:https://www.mdpi.com/2072-4292/14/11/2688

Internet

https://www.mdpi.com/2072-4292/14/11/2688

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