摘要
中国幅员辽阔且农村房屋数量庞大、分布广泛,乡村地区低成本、广覆盖的信息采集和建模一直是乡村信息化亟待解决的问题。文章提出了一种简易的农村三维建筑建模方式,即基于多源数据融合的农村建筑智能识别与三维建模方法,并以广东省云浮市新兴县河村为研究对象,建立精细化三维建筑模型。该方法分为粗模生成和深化建模2个阶段。首先,在粗模生成阶段,基于高分辨率遥感影像和Mask R_CNN技术识别建筑物,确定房屋位置并拉伸生成基础白模;在深化阶段,外业采集员根据实际情况,基于农村建筑模型库将基础白模替换为更精细的、参数化的白模;然后,通过简单的手机拍摄及纹理处理,实现建筑立面纹理的补充;最后,通过坐标匹配、影像地形融合、三维轻量化等技术形成真实的、可存储和可交换的三维建筑模型,可支撑乡村调查、乡村规划、乡村建设、共同缔造等应用。该方法简单易用,降低了常规建模在数据采集、处理等技术方面的高要求,为农村地区提供一种低成本、高效率的“大众化”建筑三维重建方法。
China’s rural areas are vast, and housing construction is the primary organization of farmers’ living spaces and an essential focus of the national implementation of rural revitalization. However, there is a lack of rural housing census data and methods that quickly and accurately establish a rural three-dimensional(3D)-building model. The existing 3D-building modeling techniques, including manual modeling and oblique photography modeling, are encountering the problem of high cost and do not meet the construction requirements of low cost and comprehensive coverage. With the development of satellite remote sensing technology in China,building recognition based on high-resolution remote sensing images has become a convenient and rapid technical tool. At the same time, with the widespread use of smartphones and their potent computing power,people can easily and quickly access the Internet and receive a three-dimensional display. Compared with twodimensional products, three-dimensional products can show rural buildings, terrain, and landscape more clearly,enhance the refined management of rural areas, and improve enthusiasm to participate in rural construction.Therefore, this study proposes a simple rural 3D building modeling method based on multi-source data fusion,namely intelligent identification and 3D modeling for rural buildings. This method consists of two stages: rough model generation and deepening. In the rough model generation stage, the building is identified based on highresolution remote sensing images and Mask R_CNN technology, the location of the building is determined, and the basic white model is obtained by stretching. In the deepening stage, field collectors replace the basic white model with a more refined and parameterized model based on the rural building model library, according to the actual situation. Subsequently, they supplement the building facade texture through smartphone photography and texture processing. Finally, a physical, storable, and exchangeable 3D-building model is obtaine
作者
陈彪
彭欣月
周素红
陈家亮
孔宪娟
卞明月
林高远
Chen Biao;Peng Xinyue;Zhou Suhong;Chen Jialiang;Kong Xianjuan;Bian Mingyue;Lin Gaoyuan(Augur Technology Co.,Ltd.,Guangzhou 510000,China;School of Geography and Planning,Sun Yat-sen University,Guangzhou 510275,China)
出处
《热带地理》
CSCD
北大核心
2023年第2期190-201,共12页
Tropical Geography
基金
城市信息模型(CIM)平台关键技术研发及广州示范应用(202103050001)。
