MAAFEU-Net: A Novel Land Use Classification Model Based on Mixed Attention Module and Adjustable Feature Enhancement Layer in Remote Sensing Images

MAAFEU-Net: A Novel Land Use Classification Model Based on Mixed Attention Module and Adjustable Feature Enhancement Layer in Remote Sensing Images

The classification of land use information is important for land resource management. With the purpose of extracting precise spatial information, we present a novel land use classification model based on a mixed attention module and adjustable feature enhancement layer (MAAFEU-net). Our unique desig...

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Bibliographic Details
Main Authors: Yonghong Zhang, Huajun Zhao, Guangyi Ma, Donglin Xie, Sutong Geng, Huanyu Lu, Wei Tian, Kenny Thiam Choy Lim Kam Sian
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
remote sensing
land use classification
mixed attention module
adjustable feature enhancement layer
Online Access:https://www.mdpi.com/2220-9964/12/5/206

Internet

https://www.mdpi.com/2220-9964/12/5/206

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