MF-BHNet: A Hybrid Multimodal Fusion Network for Building Height Estimation Using Sentinel-1 and Sentinel-2 Imagery
发布时间：1905-07-16
点击次数：
- DOI码：
- 10.1109/tgrs.2024.3477588
- 所属单位：
- Wuhan Univ, State Key Lab Informat Engn Surveying, Mapping & Remote Sensing, Wuhan 430079, Peoples R
- 发表刊物：
- IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- 项目来源：
- This work was supported in part by the National Key Research and Development Program of China under
- 关键字：
- 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
- 摘要：
- 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
- 合写作者：
- Cai, Bowen,Hou, Dongyang,Ding, Qing,Wang, Jiaming
- 第一作者：
- Wang, Siyuan
- 论文类型：
- 期刊论文
- 通讯作者：
- Shao, Zhenfeng
- 文献类型：
- Article
- 卷号：
- 62
- ISSN号：
- 0196-2892
- 是否译文：
- 否
- 发表时间：
- 1905-07-16