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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
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Hosseini Aria, S.E. (author), Menenti, M. (author), Gorte, B.G.H. (author), Homayouni, Saeid (author)
Unsupervised feature selection (UFS) is a standard approach to reduce the dimensionality of hyperspectral images (HSIs). The main idea in UFS is to define a similarity metric, and select the features minimizing the metric to reduce the data redundancy. In this paper, we proposed a novel criterion for unsupervised dimensionality reduction...
journal article 2020
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Zhou, K. (author), Lindenbergh, R.C. (author), Gorte, Ben (author)
Up-to-date 3D city models are needed for many applications. Very-high-resolution (VHR) images with rich geometric and spectral information and a high update rate are increasingly applied for the purpose of updating 3D models. Shadow detection is the primary step for image interpretation, as shadow causes radiometric distortions. In addition,...
journal article 2019
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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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Gorte, B. G.H. (author), Zhou, K. (author), Van Der Sande, C. J. (author), Valk, C. (author)
Representation of scenes on the Earth surface by using voxels is gaining attention because of its suitability for integrating heterogeneous data sources in simulations and quantitative models. Computation of shadows in such models is needed, for example, to obtain crop suitability of agricultural fields in the presence of trees and buildings,...
journal article 2018
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Zhou, K. (author), Gorte, B. (author), Lindenbergh, R.C. (author), Widyaningrum, E. (author)
Change detection is an essential step to locate the area where an old model should be updated. With high density and accuracy, LiDAR data is often used to create a 3D city model. However, updating LiDAR data at state or nation level often takes years. Very high resolution (VHR) images with high updating rate is therefore an option for change...
journal article 2018
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Widyaningrum, E. (author), Lindenbergh, R.C. (author), Gorte, B.G.H. (author), Zhou, K. (author)
Various kinds of urban applications require true orthophotos. True orthophoto generation requires a DSM (Digital Surface Model) to project the photo orthogonally and minimize geometric distortion due to topographic variance. DSMs are often generated from airborne laser scan data. In urban scenes, DSM data may fail to deliver sharp and...
journal article 2018
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Ligtvoet, B.R. (author), Verbree, E. (author), Gorte, B.G.H. (author)
There has been a steady increase in applications that rely on crowdsensing to gather data for analysis purposes. Crowdsensing enables the use of dynamic sensors to collect data on static objects of interest. However, using dynamic sensors in this way causes a problem. The focus of the collected data is on the position of the sensor, not on the...
conference paper 2018
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Evers, J.M. (author), Tavasszy, Lorant (author), van Duin, Ron (author), Schott, D.L. (author), Gorte, Frank (author)
Food waste and incomplete orders at online supermarkets mainly occur due to inaccurate demand forecasting which leads to incorrect ordering of products. The objective of this study is to develop an accurate demand forecast model at product-level based on historical customer order data, give recommendations on implementation and describe impact...
conference paper 2018
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Hosseini Aria, S.E. (author), Menenti, M. (author), Gorte, B.G.H. (author)
Hyperspectral images may be applied to classify objects in a scene. The redundancy in hyperspectral data implies that fewer spectral features might be sufficient for discriminating the objects captured in a scene. The availability of labeled classes of several areas in a scene paves the way for a supervised dimensionality reduction, i.e., using...
journal article 2017
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Hosseini Aria, S.E. (author), Menenti, M. (author), Gorte, B.G.H. (author)
One of the main steps in hyperspectral image classification is the selection of bands that provide the best separability among classes. It is usually understood that the selected bands for classification must contain a large amount of information, and the correlation among selected bands should be small to avoid redundancy. At the same time...
conference paper 2017
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Zhou, K. (author), Gorte, B.G.H. (author)
In VHR(very high resolution) aerial images, shadows indicating height information are valuable for validating or detecting changes on an existing 3D city model. In the paper, we propose a novel and full automatic approach for shadow detection from VHR images. Instead of automatic thresholding, the supervised machine learning approach is...
conference paper 2017
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Widyaningrum, E. (author), Gorte, B.G.H. (author)
LiDAR data acquisition is recognized as one of the fastest solutions to provide basis data for large-scale topographical base maps worldwide. Automatic LiDAR processing is believed one possible scheme to accelerate the large-scale topographic base map provision by the Geospatial Information Agency in Indonesia. As a progressive advanced...
journal article 2017
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Widyaningrum, E. (author), Gorte, B.G.H. (author)
The integration of computer vision and photogrammetry to generate three-dimensional (3D) information from images has contributed to a wider use of point clouds, for mapping purposes. Large-scale topographic map production requires 3D data with high precision and accuracy to represent the real conditions of the...
conference paper 2017
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Gorte, B.G.H. (author), Zlatanova, S. (author)
The paper presents a very straightforward and effective algorithm to convert a space partitioning, made up of polyhedral objects, into a 3D block of voxels, which is fully occupied, i.e. in which every voxel has a value. In addition to walls, floors, etc. there are 'air' voxels, which in turn may be distinguished as indoor and outdoor air....
journal article 2016
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Gorte, B.G.H. (author), Oude Elberink, S. (author), Sirmacek, B. (author), Wang, J. (author)
The European FP7 project IQmulus yearly organizes several processing contests, where submissions are requested for novel algorithms for point cloud and other big geodata processing. This paper describes the set-up and execution of a contest having the purpose to evaluate state-of-the-art algorithms for Mobile Mapping System point clouds, in...
conference paper 2015
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Mousivand, A. (author), Verhoef, W. (author), Menenti, M. (author), Gorte, B.G.H. (author)
Topography affects the fraction of direct and diffuse radiation received on a pixel and changes the sun–target–sensor geometry, resulting in variations in the observed radiance. Retrieval of surface–atmosphere properties from top of atmosphere radiance may need to account for topographic effects. This study investigates how such effects can be...
journal article 2015
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Angel, J.A. (author), Gorte, B.G.H. (author), Vargas Luna, A. (author), Uijttewaal, W.S.J. (author)
Experimental work in river morphology has already become a key factor to assess and analyze physical and numerical models that describe bed-level evolution in channels (Paola et al, 2009). Different techniques could be used to measure bed topography in laboratories ranging from traditional to high-technology methods. In this work, the structured...
conference paper 2014
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Cheruiyot, E.K. (author), Mito, C. (author), Menenti, M. (author), Gorte, B.G.H. (author), Koenders, R. (author), Akdim, N. (author)
Delineation of aquatic plants and estimation of its surface extent are crucial to the efficient control of its proliferation, and this information can be derived accurately with fine resolution remote sensing products. However, small swath and low observation frequency associated with them may be prohibitive for application to large water bodies...
journal article 2014
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Hosseini Aria, S.E. (author), Menenti, M. (author), Gorte, B.G.H. (author)
Reliability analysis is usually applied to evaluate classification procedures with different classes. In this research, we have applied the analysis to two different band sets to find out which one is more reliable. These band sets provide the most informative spectral regions covered by hyperspectral images. The informative regions are...
journal article 2014
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