Feature Line Based Building Detection and Reconstruction From Oblique Airborne Imagery

Abstract

ABSTRACT:In this paper, a feature line based method for building detection and reconstruction from oblique airborne imagery is presented. With the development of Multi-View Stereo technology, increasing photogrammetric softwares are provided to generate textured meshes from oblique airborne imagery. However, errors in image matching and mesh segmentation lead to the low geometrical accuracy of building models, especially at building boundaries. To simplify massive meshes and construct accurate 3D building models, we integrate multi-view images and meshes by using feature lines, in which contour lines are used for building detection and straight skeleton for building reconstruction. Firstly, through the contour clustering method, buildings can be quickly and robustly detected from meshes. Then, a feature preserving mesh segmentation method is applied to accurately extract 3D straight skeleton from meshes. Finally, straight feature lines derived from multi-view images are used to rectify inaccurate parts of 3D straight skeleton of buildings. Therefore, low quality model can be refined by the accuracy improvement of mesh feature lines and rectification with feature lines of multi-view images. The test dataset in Zürich is provided by ISPRS/EuroSDR initiative Benchmark on High Density Image Matching for DSM Computation. The experiments reveal that the proposed method can obtain convincing and high quality 3D building models from oblique airborne imagery.

Optimization of OpenStreetMap Building Footprints Based on Semantic Information of Oblique UAV Images

“…Traditional methods employed color features [7] in early stages, which are vulnerable to shadows and illumination. Some methods extracted building boundaries by detecting 2D lines [8] or corners [9]. However, the detected edges or corners have uncertain semantic meanings and therefore can only be used as weak evidence.…”

Efficient structure from motion for oblique UAV images based on maximal spanning tree expansion

“…Compared with the traditional photogrammetry, oblique imaging technology is capable of capturing both footprints and facades of targets, which enables and simplifies identification and interpretation of some hard-to-see facilities from the unique perspective view (Remondino and Gerke, 2015). This technique can be considered as the bridge between classical and terrestrial acquisitions (Sun et al, 2016), and their abilities for civil applications have been more and more documented (Gerke, 2009;Vetrivel et al, 2015;Zhu et al, 2015). For some situations, e.g.…”

On-Board GNSS/IMU Assisted Feature Extraction and Matching for Oblique UAV Images

“…It records both footprints and facades of targets, especially for buildings in urban environment when compared with the traditional vertical imaging systems. Nowadays, this technique is undergoing explosive development and becoming increasingly more important in the photogrammetric community, whose abilities for civil applications have been more and more reported [3,4]. It is rational that the combination of UAV platforms and oblique imaging systems could enhance both of their strengths.…”