Academic Journal
Building Extraction From High-Resolution Multispectral and SAR Images Using a Boundary-Link Multimodal Fusion Network
| العنوان: | Building Extraction From High-Resolution Multispectral and SAR Images Using a Boundary-Link Multimodal Fusion Network |
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| المؤلفون: | Zhe Zhao, Boya Zhao, Yuanfeng Wu, Zutian He, Lianru Gao |
| المصدر: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 3864-3878 (2025) |
| بيانات النشر: | IEEE, 2025. |
| سنة النشر: | 2025 |
| المجموعة: | LCC:Ocean engineering LCC:Geophysics. Cosmic physics |
| مصطلحات موضوعية: | Building extraction, multimodal segmentation, multispectral, synthetic aperture radar (SAR), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809 |
| الوصف: | Automatically extracting buildings with high precision from remote sensing images is crucial for various applications. Due to their distinct imaging modalities and complementary characteristics, optical and synthetic aperture radar (SAR) images serve as primary data sources for this task. We propose a novel boundary-link multimodal fusion network for joint semantic segmentation to leverage the information in these images. An initial building extraction result is obtained from the multimodal fusion network, followed by refinement using building boundaries. The model achieves high-precision building delineation by leveraging building boundary and semantic information from optical and SAR images. It distinguishes buildings from the background in complex environments, such as dense urban areas or regions with mixed vegetation, particularly when small buildings lack distinct texture or color features. We conducted experiments using the MSAW dataset (RGB-NIR and SAR data) and DFC track2 datasets (RGB and SAR data). The results indicate that our model significantly enhances extraction accuracy and improves building boundary delineation. The intersection over union metric is 2.5% to 3.5% higher than that of other multimodal joint segmentation methods. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1939-1404 2151-1535 |
| Relation: | https://ieeexplore.ieee.org/document/10824925/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535 |
| DOI: | 10.1109/JSTARS.2025.3525709 |
| URL الوصول: | https://doaj.org/article/f4574c1e5d344a67a7dccb3eecee9345 |
| رقم الانضمام: | edsdoj.f4574c1e5d344a67a7dccb3eecee9345 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 19391404 21511535 |
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| DOI: | 10.1109/JSTARS.2025.3525709 |