CORTEXA
← Browse
openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23Cited by 0

Methodology and Practice of Hong Kong 3D Digital Map Construction Based on Multi-Source Data Fusion

Li Chen, Jun Li, Yaping Wang, Jing Wang, Weichen Yao

Abstract. In response to Hong Kong's smart city development strategy, this paper takes the 3D digital map construction project in Kowloon as a practical case study and systematically presents a construction method for 3D digital mapping based on multi-source data fusion. Aiming at the technical challenges in high-density urban environments-including dense buildings, complex 3D traffic networks, and severe shadow occlusion-an "air-ground fusion" data acquisition strategy is proposed. By comprehensively adopting multiple approaches such as oblique aerial photography, Vehicle Mobile Mapping System (VMMS), and Portable Mobile Mapping Survey (PMMS), a high-precision and highly realistic urban 3D model has been constructed. The paper focuses on the principles of multi-source data fusion based on feature registration and combined adjustment, as well as the 3D modeling process and the quality control methods for the final results. The project’s technical innovation and practical feasibility have been validated through international benchmarking. The research results have been applied to urban planning, traffic management, environmental studies and other fields, providing a solid data foundation and technical support for Hong Kong's smart city development.

View free PDFSource page

Related papers

openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

Augmented and Mixed Reality Scene Alignment Through 3D-to-3D Learning-Based Cross-Source Point Cloud Registration

Juan Sardi-Barzallo, Norbert Haala, Volker Coors

Abstract. Rapid advancements in reality capture technology and increasing accessibility to devices capable of generating point cloud data have led to a greater prevalence of applications requiring the interaction and integration of cross-source Point Cloud Data (PCD). Augmented a…

View free PDFSource page
openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

An Analysis of the Impact of Geospatial Data Sources on Mesh-Based Localisation Performance

Francesco Vultaggio, Phillipp Fanta‐Jende, Alexander Kern, M. Gerke

Abstract. This paper investigates how the provenance and resolution of geospatial data used to construct mesh maps affect the accuracy and robustness of mesh-based visual localisation. Mesh-based approaches offer significant advantages over traditional pipelines reliant on Struct…

View free PDFSource page
openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

A Marker-based Method for precise 3D Registration between CT-Data and photogrammetric Datasets

Sebastian Preußel, Cyrill Milkau, Hans‐Gerd Maas

Abstract. In order to enable photogrammetric tracking of objects from a computed tomography (CT) dataset with a multi-camera system, a transformation between the CT data space and a photogrammetric reference frame is required, typically based on control points. To achieve a robus…

View free PDFSource page
openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

Pixel-based vegetation mapping at class-level from UAV multispectral imagery: application in an alpine lake ecosystem

Mohammad Elahi, Alessandra Spadaro, Francesca Matrone, Andrea Maria Lingua, Chiara Graziani, Vittorio Fra

Abstract. Vegetation mapping in alpine environments is essential for monitoring ecosystem dynamics and climate change impacts, yet remains challenging when using very high-resolution UAV imagery under limited labeled data. This study proposes a data-centric, pixel- based classifi…

View free PDFSource page
openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

Automated Detection of Box-Girder Bridge Deterioration Using Cylindrical Projection from Multi-Camera 3D Reconstruction and Deep Learning

Ming-Yun Ou, Jyun-Ping Jhan, Chen-Kuang Lin, Shih-Syun Lin, Hsin-Chu Tsai, Tzu-Liang Chou, et al.

Abstract. As large-scale infrastructure gradually ages, hundreds of existing bridges require regular inspections to ensure structural safety. While many researchers have proposed deterioration detection methods based on computer vision and deep learning—which can detect deteriora…

View free PDFSource page
openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

Integrating Photogrammetry and Topological Data Analysis within a Digital Twin Framework for Missing Bolt Detection in Bridges

Vahid Mousavi, Maria Rashidi

Abstract. Reliable inspection of bridge infrastructure is essential for maintaining structural safety, particularly in identifying missing bolts that may compromise system performance. This study represents an extension of our previous work with a methodology that integrates poin…

View free PDFSource page