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    15827188114

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    测绘遥感信息工程全国重点实验室

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    武汉大学

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    测绘遥感信息工程全国重点实验室

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    武汉大学星湖实验大楼713

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Paper Publications

Current position: Home > Scientific Research > Paper Publications

MF-BHNet: A Hybrid Multimodal Fusion Network for Building Height Estimation Using Sentinel-1 and Sentinel-2 Imagery

  • Time:1905-07-16
  • Hits:

  • DOI number:

    10.1109/tgrs.2024.3477588

  • Affiliation of Author(s):

    Wuhan Univ, State Key Lab Informat Engn Surveying, Mapping & Remote Sensing, Wuhan 430079, Peoples R

  • Journal:

    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

  • Funded by:

    This work was supported in part by the National Key Research and Development Program of China under

  • Key Words:

    Buildings,Optical imaging,Estimation,Optical sensors,Sentinel-1,Radar polarimetry,Optical polarization,Optical network units,Adaptive optics,Spatial resolution,Building height,data synergy,deep learning,remote sensing

  • Abstract:

    Integrated Sentinel-1 synthetic aperture radar (SAR) imagery and Sentinel-2 optical imagery have shown great promise in mapping large-scale building height. Effectively fusing the complementary features of SAR and optical imagery is a key challenge in enhancing the building height estimation performance. However, SAR imagery and optical imagery have significant heterogeneity, which makes obtaining accurate building height a challenging problem. In this article, we propose a hybrid multimodal fusion network (MF-BHNet) for building height estimation using Sentinel-1 SAR imagery and Sentinel-2 op

  • Co-author:

    Jiaming,Wang, Qing,Ding, Dongyang,Hou, Bowen,Cai

  • Indexed by:

    Journal paper

  • Correspondence Author:

    Shao, Zhenfeng

  • Document Type:

    Article

  • Volume:

    62

  • ISSN No.:

    0196-2892

  • Translation or Not:

    no

  • Date of Publication:

    1905-07-16

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