Enrichment of Uav Photogrammetric Point Cloud to Enhance DSM in a Dense Urban Region

Kushwaha, S. K. P.; Mokroš, Martin; Jain, Kshitij

doi:10.5194/isprs-archives-xlviii-4-w4-2022-83-2022

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…In the process of modeling, using photogrammetric point clouds for 3D model reconstruction is an important step [3,4]. Level of detail (LOD) models are simplified building model with five successive levels of detail defined in the CityGML standard, which has been widely used in building information modeling (BIM) [5], urban energy conservation [6] and indoor geometry [7].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Method of Connection Evaluation and Framework Optimization for Building Surface Reconstruction

Li,

Gong,

Liu

et al. 2024

Remote Sensing

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The three-dimensional (3D) reconstruction of buildings using photogrammetric point clouds is important for many applications, ranging from digital city construction to urban energy consumption analysis. However, problems such as building complexity and point cloud flaws may lead to incorrect modeling, which will affect subsequent steps such as texture mapping. This paper introduces a pipeline for building surface reconstruction from photogrammetric point clouds, employing a hybrid method that combines connection evaluation and framework optimization. Firstly, the plane segmentation method divides building point clouds into several pieces, which is complemented by a proposed candidate plane generation method aimed at removing redundancies and merging similarities. Secondly, the improved connection evaluation method detects potential skeleton lines from different planes. Subsequently, a framework optimization method is introduced to select suitable undirected polygonal boundaries from planes, forming the basis for plane primitives. Finally, by triangulating all plane primitives and filling holes, a building surface polygonal model is generated. Experiments conducted on various building examples provide both qualitative and quantitative evidence that the proposed hybrid method outperforms many existing methods, including traditional methods and deep learning methods. Notably, the proposed method successfully reconstructs the main building structures and intricate details, which can be further used to generate textural models and semantic models. Experimental results validate that the proposed method can be used for the surface reconstruction from photogrammetric point clouds of planar buildings.

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Section: Introductionmentioning

confidence: 99%

Hybrid Method of Connection Evaluation and Framework Optimization for Building Surface Reconstruction

Li,

Gong,

Liu

et al. 2024

Remote Sensing

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“…In our previous research, we have tested the proposed methodology only on a flat terrain study area and we couldn't quantify the enhancements in the DSM with respective to the DSM derived from the photogrammetric processing software [16]. In this research, we have focused to implement and test the proposed methodology on both the study areas with different terrain undulations (flat and steep).…”

Section: Introductionmentioning

confidence: 99%

Enhancement of digital surface model in dense urban regions obtained from UAV photogrammetry in flat and steep terrains

Kushwaha¹,

Mokroš²,

Jain³

2023

SPIE Future Sensing Technologies 2023

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Generating accurate 3D models of the city or a region has become a key important step to plan any further development or modifications from the current plan. Close-range remote sensing technologies have been very efficient in generating accurate 3D models of the regions with very detailed information. Unmanned Aerial Vehicle (UAV) is one such technology that is widely used due to their cost-effectiveness, time efficiency, and for various other reasons. In this research, the quality of the Digital Surface Model (DSM) produced through the photogrammetric software process is tried to enhance in some parts of the datasets. The DSM is generated from the pointcloud generated from Structure from Motion (SfM). In dense urban regions, the overlap of the UAV images is not sufficient or incapable to generate ample points in the point cloud at some places in the dataset, due to which the DSM generated is not that accurate. The point cloud is enhanced using an interpolation technique at those regions. From which the DSM generated is enhanced. Qualitative analysis is also done between the DSM obtained through the photogrammetric software process and the DSM enhanced through the proposed methodology. This low-cost approach can be implemented while creating digital twin models.

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Enrichment of Uav Photogrammetric Point Cloud to Enhance DSM in a Dense Urban Region

Cited by 2 publications

References 14 publications

Hybrid Method of Connection Evaluation and Framework Optimization for Building Surface Reconstruction

Hybrid Method of Connection Evaluation and Framework Optimization for Building Surface Reconstruction

Enhancement of digital surface model in dense urban regions obtained from UAV photogrammetry in flat and steep terrains

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