Land Use and Land Cover Classification with Deep Learning-Based Fusion of SAR and Optical Data

Land Use and Land Cover Classification with Deep Learning-Based Fusion of SAR and Optical Data

Land use and land cover (LULC) classification through remote sensing imagery serves as a cornerstone for environmental monitoring, resource management, and evidence-based urban planning. While Synthetic Aperture Radar (SAR) and optical sensors individually capture distinct aspects of Earth’s surface...

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Bibliographic Details
Main Authors: Ayesha Irfan, Yu Li, Xinhua E, Guangmin Sun
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
land use/land cover (LULC)
remote sensing
multisource data fusion
optical imagery
Synthetic Aperture Radar (SAR)
deep learning
Online Access:https://www.mdpi.com/2072-4292/17/7/1298
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