BRIGHTEARTH CITY TEXTURING : FAITHFUL PROCEDURAL 3D URBAN MODELING FROM SATELLITE AND GROUND IMAGERY

被引：0

作者：

Girard, Nicolas ^{[1
]}

Larrosa, Cedric ^{[1
]}

Mapurisa, Willard ^{[1
]}

Trastour, Frederic ^{[1
]}

Tarabalka, Yuliya ^{[1
]}

机构：

[1] LuxCarta, F-06560 Valbonne, France

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

deep learning; procedural; digital twin; urban 3D modeling;

D O I：

10.1109/IGARSS52108.2023.10282555

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

BrightEarth City Texturing is an automatic and resource-efficient 3D urban modeling pipeline, producing quality lowpoly 3D models with high-resolution seamless textures suitable for real-time rendering. From a single satellite image it extracts building geometry with footprint polygons along with attributes such as building height, roof shape, and roof texture. If ground images are available it can also faithfully texture facades in terms of architectural style.

引用

页码：5599 / 5602

页数：4

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