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- Waltmans, B. (author), Reunis, M.R.B. (author), Schotanus, F. (author), Santema, S.C. (author) conference paper 2006
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Khoshelham, K. (author), Nardinocchi, C. (author)This paper presents a learning Dempster-Shafer model for the detection of buildings in aerial image and range data. The process of evidence assignment in the Dempster-Shafer method is implemented through membership functions in an adaptive network-based fuzzy inference system, where a back propagation learning rule is employed to tune the...conference paper 2009
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- Karavides, T. (author), Leung, K.Y.E. (author), Paclik, P. (author), Hendriks, E. (author), Bosch, J.G. (author) conference paper 2010
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- Biljecki, F. (author), Quak, C.W. (author), Ledoux, H. (author), Van Oosterom, P.J.M. (author) conference paper 2010
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Alhaddad, B.I. (author), Burns, M.C. (author), Roca, J. (author)Urban areas are complicated due to the mix of man-made features and natural features. A higher level of structural information plays an important role in land cover/use classification of urban areas. Additional spatial indicators have to be extracted based on structural analysis in order to understand and identify spatial patterns or the spatial...conference paper 2011
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- Serra, M. (author), Lopes Gil, J.A. (author), Pinho, P. (author) conference paper 2012
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- Serra, M. (author), Lopes Gil, J.A. (author), Pinho, P. (author) conference paper 2013
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Kroon, M.E.N. (author), Rutten, M.M. (author), Stive, M.J.F. (author), Wunna, S. (author)Coastal squeeze is the reduction in the space of coastal habitats to operate (Phan et al, 2014) and an important cause for coastline retreat, increase in flood risk, salinity intrusion etc. Land use changes, such as deforestation and urbanization, reduce the space of natural habitats, such as mangrove forests, and cause deterioration of these...conference paper 2015
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Sirmacek, B. (author), Lindenbergh, R.C. (author)Development of laser scanning technologies has promoted tree monitoring studies to a new level, as the laser scanning point clouds enable accurate 3D measurements in a fast and environmental friendly manner. In this paper, we introduce a probability matrix computation based algorithm for automatically classifying laser scanning point clouds into...conference paper 2015
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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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Rook, Merwin (author), Biljecki, F. (author), Diakite, A.A. (author)The lack of semantic information in many 3D city models is a considerable limiting factor in their use, as a lot of applications rely on semantics. Such information is not always available, since it is not collected at all times, it might be lost due to data transformation, or its lack may be caused by non-interoperability in data integration...conference paper 2016
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Rajabzadeh, Aydin (author), Hendriks, R.C. (author), Heusdens, R. (author), Groves, R.M. (author)This paper describes a new method for the classification and identification of two major types of defects in composites, namely delamination and matrix cracks, by classification of the spectral features of fibre Bragg grating (FBG) signals. In aeronautical applications of composites, after a damage is detected, it is very useful to know the...conference paper 2017
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Starmans, Martijn P.A. (author), Miclea, Razvan L. (author), van der Voort, S.R. (author), Niessen, W.J. (author), Thomeer, Maarten G. (author), Klein, S. (author)Correct diagnosis of the liver tumor phenotype is crucial for treatment planning, especially the distinction between malignant and benign lesions. Clinical practice includes manual scoring of the tumors on Magnetic Resonance (MR) images by a radiologist. As this is challenging and subjective, it is often followed by a biopsy. In this study,...conference paper 2018
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Chen, Cong (author), Batselier, K. (author), Ko, Ching Yun (author), Wong, Ngai (author)There has been growing interest in extending traditional vector-based machine learning techniques to their tensor forms. Support tensor machine (STM) and support Tucker machine (STuM) are two typical tensor generalization of the conventional support vector machine (SVM). However, the expressive power of STM is restrictive due to its rank-one...conference paper 2019
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Bennet, Cameron (author), Jahangir, Mohammad (author), Fioranelli, F. (author), Ahmad, Bashar I (author), Le Kernec, Julien (author)The commercialization of drones has granted the public with unprecedented access to unmanned aviation. As such, the detection, tracking, and classification of drones in radars have become an area in high demand to mitigate accidental or voluntary misuse of these platforms. This paper focuses on the classification of drone targets in a safety...conference paper 2020
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Guendel, Ronny (author), Fioranelli, F. (author), Yarovoy, Alexander (author)In this paper, we investigate the classification of Activities of Daily Living (ADL) by using a pulsed ultra-wideband radar. Specifically, we focus on contiguous activities that can be inseparable in time and share a common transition, such as walking and falling. The range-time data domain is deliberately exploited to determine transitions from...conference paper 2020
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Jia, Mu (author), Li, Shaoxuan (author), Le Kernec, Julien (author), Yang, Shufan (author), Fioranelli, F. (author), Romain, Olivier (author)As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are required to keep people living at home independently longer. Radar-based human activity recognition has been identified as a sensing modality of choice because it is privacy-preserving and does not require end-users compliance or manipulation. In...conference paper 2020
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Papanastasiou, V. S. (author), Trommel, R. P. (author), Harmanny, R. I.A. (author), Yarovoy, Alexander (author)For the first time identification of human individuals using micro-Doppler (m-D) features measured at X-band has been demonstrated. Deep Convolutional Neural Networks (DCNNs) have been used to perform classification. Inspection and visualization of the classification results were performed using Uniform Manifold Approximation and Projection ...conference paper 2021
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Clemente, Carmine (author), Pallotta, Luca (author), Ilioudis, Christos (author), Fioranelli, F. (author), Giunta, Gaetano (author), Farina, Alfonso (author)This paper introduces the use of a Chebychev moments' based feature for micro-Doppler based Classification, Recognition and Fingerprinting of Drones. This specific feature has been selected for its low computational cost and orthogonality property. The capability of the proposed feature extraction framework is assessed at three different levels...conference paper 2021
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Hendrickx, Rik (author), Zoutendijk, M. (author), Mitici, M.A. (author), Schäfer, Jeffrey (author)A key part of efficient airport operational planning is to have insight into potential flight delays and cancellations. For airport planners, it is important to obtain flight delay or cancellation predictions with a high degree of certainty, i.e. a high precision. This allows planners to make sound decisions based on these predictions. To obtain...conference paper 2021
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