Zobrazeno 1 - 10 of 55 pro vyhledávání: '"Gorte, B.G.H."'
1
Virtual sensors - Synthesizing dynamic crowdsensing data into information on static instances
Autor: Ligtvoet, B.R., Verbree, E., Gorte, B.G.H., Kiefer, Peter, Huang, Haosheng, Van de Weghe, Nico, Raubal, Martin
Publikováno v: Adjunct Proceedings of the 14th International Conference on Location Based Services
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87d98dca6d48a00bf542f54c2d355a90
https://hdl.handle.net/20.500.11850/225584
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2
Shadow detection from VHR aerial images in urban area by using 3D city models and a decision fusion approach
Autor: Zhou, K., Gorte, B.G.H., Li, D., Gong, J., Yang, B.
Publikováno v: ISPRS Geospatial Week 2017, 42
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W7, Pp 579-586 (2017)
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 VH
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::036b2b730f94cde01c2d5a67ecbd1ff2
http://resolver.tudelft.nl/uuid:37df6789-f7f3-4d71-82d4-6ffefc77905d
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3
Comprehensive comparison of two image-based point clouds from aerial photos with airborne lidar for large-scale mapping: Door detection to envelope reconstruction
Autor: Widyaningrum, E., Gorte, B.G.H.
Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W7
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 p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::6aa470496e29b604c07a999e0071ae25
http://resolver.tudelft.nl/uuid:a3ca91b8-c3f3-43fd-8671-65a164cdc1a1
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4
Mapping bed-level evolution in laboratory flumes by means of structured light
Autor: Angel, J.A., Gorte, B.G.H., Vargas Luna, A., Uijttewaal, W.S.J.
Publikováno v: Book of Abstracts NCR-Days 2014, Enschede (The Netherlands) Oct. 2-3, 2014
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::3093fd6d2031fd9cef75c51ad0713c20
http://resolver.tudelft.nl/uuid:7313e377-92bc-4464-93af-b2c2ca1c4ca8
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7
Tree crown delineation from high resolution airborne LiDAR based on densities of high points
Autor: Rahman, M.Z.A., Gorte, B.G.H.
Publikováno v: Proceedings ISPRS Workshop Laserscanning 2009, September 1-2, France, IAPRS, XXXVIII (3/W8), 2009
Tree detection and tree crown delineation from Airborne LiDAR has been focusing mostly on utilizing the canopy height model (CHM). This paper presents a method for individual tree crown delineation based on densities of high points (DHP) from the hig
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9f06e519f31b9a2e30d72757428f8f20
http://resolver.tudelft.nl/uuid:46c78763-255a-426f-a3d6-76467d0e8862
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8
Tree filtering for high density airborne LiDAR data
Autor: Abd Rahman, M.Z., Gorte, B.G.H.
Publikováno v: Proceedings of SilviLaser 2008: 8th International Conference on LiDAR Applications in Forest Assessment and Inventory, 17-19 September 2008, Edinburgh, UK
A high resolution Airborne LiDAR data creates better opportunity for an individual tree measurement and provides valuable results for more precise forest inventory. This paper presents tree filtering approach that able to separate dominant tree and u
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::d0ec17603b26939ba864e0f765d90666
http://resolver.tudelft.nl/uuid:efd5d40c-3062-4d98-9f71-bbc431b9cd65
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9
Individual tree detection based on densities of high points of high resolution airborne lidar
Autor: Abd Rahman, M.Z., Gorte, B.G.H.
Publikováno v: GEOBIA 2008: Pixels, Objects, Intelligence GEOgraphic Object based Image Analysis for the 21st Century, 5-8 August 2008, Calgary, Canada
The retrieval of individual tree location from Airborne LiDAR has focused largely on utilizing canopy height. However, high resolution Airborne LiDAR offers another source of information for tree detection. This paper presents a new method for tree d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::cdce3e7d7e3c8dc2c8da355794baeaaf
http://resolver.tudelft.nl/uuid:634f77cb-e99c-41e2-991a-fd8f542fa113
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10
Energy function behavior in optimization based image sequence stabilization in presence of moving objects
Autor: Karimi Nejadasl, F., Gorte, B.G.H., Snellen, M.M., Hoogendoorn, S.P.
Publikováno v: XXI ISPRS Congress, Commission I-VIII, 3-11 July 2008, Beijing, China
In this paper, we address the registration of two images as an optimization problem within indicated bounds. Our contribution is to identify such situations where the optimum value represents the real transformation parameters between the two images.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::a64f55250b938a9dfc651ca5ca120faf
http://resolver.tudelft.nl/uuid:5961ef81-14be-4c49-8e80-81ea3ebb6a54
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