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3D Semantic Segmentation from Multi-View Optical ...
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由 P d’Angelo 著作2019被引用 6 次 — Abstract: This paper describes the winning contribution to the 2019 IEEE GRSS Data Fusion Contest Multi-view Semantic Stereo Challenge.
3d semantic segmentation from multi-view optical satellite ...
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由 P Angelo 著作2019被引用 6 次 — In this challenge, a digital surface model. (DSM) and a semantic segmentation should be derived from a large number of multi-spectral WorldView-3 images.
3D Semantic Segmentation from Multi-View Optical ...
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In this challenge, a digital surface model(DSM) and a semantic segmentation should be derived from a large number of multi-spectral WorldView-3 images. Results ...
3D Semantic Segmentation from Multi-View Optical Satellite ...
Semantic Scholar
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This paper describes the winning contribution to the 2019 IEEE GRSS Data Fusion Contest Multi-view Semantic Stereo Challenge, a digital surface model (DSM) ...
Urban Semantic 3D Reconstruction from Multiview Satellite ...
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由 MJ Leotta 著作被引用 49 次 — The ap- proach uses multiview-stereo satellite imagery as a starting point, but this work focuses on segmentation methods and regularized 3D surface extraction.
10 頁
Dr.rer. nat. Ksenia Bittner
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Machine-learned 3D building vectorization from satellite imagery. Y ... 3D semantic segmentation from multi-view optical satellite images. P d'Angelo ...
A general deep learning based framework for 3D ...
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由 J Gao 著作2023被引用 33 次 — In this paper, we propose a general deep learning based framework, named Sat-MVSF, to perform three-dimensional (3D) reconstruction of the Earth's surface ...
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Semantic 3D Reconstruction Using Multi-View High-Resolution ...
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For example, 3D photogrammetric point clouds are generated based on dense stereo matching using multi-view optical remote sensing images [50][51][52][53] [54] [ ...
Multi-View Radar Semantic Segmentation
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由 A Ouaknine 著作2021被引用 88 次 — The generated feature maps are fused in a shared latent space from which differ- ent decoders predict semantic segmentation maps for each output view. Since ...
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