Searched for: subject%3A%22Buildings%22
(1 - 8 of 8)
document
Dabrowski, Pawel S. (author), Zienkiewicz, Marek Hubert (author), Truong-Hong, Linh (author), Lindenbergh, R.C. (author)
Church towers are key cultural heritage. In theory, towers are vertical, while facade elements are symmetrically positioned around the tower axis. However, during service of a structure, building and lifetime conditions cause deviations, with associated risks. Laser scanning point clouds can be used to assess the structural state but a...
journal article 2023
document
Widyaningrum, E. (author), Peters, R.Y. (author), Lindenbergh, R.C. (author)
Automatic building extraction and delineation from airborne LiDAR point cloud data of urban environments is still a challenging task due to the variety and complexity at which buildings appear. The Medial Axis Transform (MAT) is able to describe the geometric shape and topology of an object, but has never been applied for building roof...
journal article 2020
document
Zhou, K. (author), Lindenbergh, R.C. (author), Gorte, Ben (author), Zlatanova, S. (author)
Change detection is essential to keep 3D city models up-to-date. LiDAR data with high accuracy are used to create 3D city models. However, updating LiDAR data at state or nation level often takes around a decade. Very high resolution (VHR) stereo images, with often yearly updating rate and dense 3D information, provide an option for...
journal article 2020
document
Zhou, K. (author), Chen, Y. (author), Smal, I.V. (author), Lindenbergh, R.C. (author)
Up-to-date 3D building models are important for many applications. Airborne very high resolution (VHR) images often acquired annually give an opportunity to create an up-to-date 3D model. Building segmentation is often the first and utmost step. Convolutional neural networks (CNNs) draw lots of attention in interpreting VHR images as they can...
journal article 2019
document
Widyaningrum, E. (author), Gorte, Ben (author), Lindenbergh, R.C. (author)
Many urban applications require building polygons as input. However, manual extraction from point cloud data is time- and labor-intensive. Hough transform is a well-known procedure to extract line features. Unfortunately, current Hough-based approaches lack flexibility to effectively extract outlines from arbitrary buildings. We found that...
journal article 2019
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Puente, I. (author), Lindenbergh, R.C. (author), Van Natijne, A. (author), Esposito, R. (author), Schipper, H.R. (author)
Vulnerability of buildings to natural and man-induced hazards has become a main concern for our society. Ensuring their serviceability, safety and sustainability is of vital importance and the main reason for setting up monitoring systems to detect damages at an early stage. In this work, a method is presented for detecting changes from laser...
journal article 2018
document
Shen, Y. (author), Lindenbergh, R.C. (author), Wang, J. (author)
A method is introduced for detecting changes from point clouds that avoids registration. For many applications, changes are detected between two scans of the same scene obtained at different times. Traditionally, these scans are aligned to a common coordinate system having the disadvantage that this registration step introduces additional...
journal article 2017
document
Sirmacek, B. (author), Lindenbergh, R.C. (author), Menenti, M. (author)
Fusion of 3D airborne laser (LIDAR) data and terrestrial optical imagery can be applied in 3D urban modeling and model up-dating. The most challenging aspect of the fusion procedure is registering the terrestrial optical images on the LIDAR point clouds. In this article, we propose an approach for registering these two different data from...
conference paper 2013
Searched for: subject%3A%22Buildings%22
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