A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis

A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis

Urban land use patterns can be more accurately mapped by fusing multimodal data. However, many studies only consider socioeconomic and physical attributes within land parcels, neglecting spatial interaction and uncertainty caused by multimodal data. To address these issues, we constructed a multimod...

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Bibliographic Details
Main Authors: Xiaoqin Yan, Zhangwei Jiang, Peng Luo, Hao Wu, Anning Dong, Fengling Mao, Ziyin Wang, Hong Liu, Yao Yao
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Urban land use mapping
Multimodal data fusion
Uncertainty analysis
Feature extraction
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224001596

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http://www.sciencedirect.com/science/article/pii/S1569843224001596

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