Urban Land Use Classification Model Fusing Multimodal Deep Features

Urban Land Use Classification Model Fusing Multimodal Deep Features

Urban land use classification plays a significant role in urban studies and provides key guidance for urban development. However, existing methods predominantly rely on either raster structure deep features through convolutional neural networks (CNNs) or topological structure deep features through g...

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Bibliographic Details
Main Authors: Yougui Ren, Zhiwei Xie, Shuaizhi Zhai
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
land use classification
convolutional neural network (CNN)
graph neural network (GNN)
transformer
Online Access:https://www.mdpi.com/2220-9964/13/11/378
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