Výsledky vyhledávání - "C.M. Gevaert"

The changing face of accountability in humanitarianism: using artificial intelligence for anticipatory action

Autor: M. van den Homberg, Y. Georgiadou, C.M. Gevaert

Publikováno v: Politics and Governance, 8(4), 1-12. Cogitatio
Politics and Governance
The Politics of Disaster Governance
Politics and Governance, Vol 8, Iss 4, Pp 456-467 (2020)

Over the past two decades, humanitarian conduct has been drifting away from the classical paradigm. This drift is caused by the blurring of boundaries between development aid and humanitarianism and the increasing reliance on digital technologies and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c49eacab2d9cdf412313b024ee055062
https://research.utwente.nl/en/publications/132ed30e-14c9-4810-b870-5a2057b6e059

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Digital world meets urban planet – new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge

Publikováno v: International journal of digital earth, 13(1), 136-157. Taylor & Francis

The digital transformation taking place in all areas of life has led to a massive increase in digital data – in particular, related to the places where and the ways how we live. To facilitate an exploration of the new opportunities arising from thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41d1765930df2fe8a67d5a37841129d8
https://doi.org/10.1080/17538947.2018.1548655

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A deep learning approach to DTM extraction from imagery using rule-based training labels

Autor: C.M. Gevaert, Claudio Persello, George Vosselman, Francesco Nex

Publikováno v: ISPRS journal of photogrammetry and remote sensing, 142, 106-123. Elsevier

Existing algorithms for Digital Terrain Model (DTM) extraction still face difficulties due to data outliers and geometric ambiguities in the scene such as contiguous off-ground areas or sloped environments. We postulate that in such challenging cases

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a256611c281508070b5eb2eec044c910
https://doi.org/10.1016/j.isprsjprs.2018.06.001

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FULLY CONVOLUTIONAL NETWORKS FOR GROUND CLASSIFICATION FROM LIDAR POINT CLOUDS

Autor: S.J. Oude Elberink, Aldino Rizaldy, C.M. Gevaert, Claudio Persello

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2, Pp 231-238 (2018)
2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy, 4(2), 231-238

Deep Learning has been massively used for image classification in recent years. The use of deep learning for ground classification from LIDAR point clouds has also been recently studied. However, point clouds need to be converted into an image in ord

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddfe3d98cc51e199d68476a46c7559f6
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2/231/2018/isprs-annals-IV-2-231-2018.pdf

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Informal settlement classification using point-cloud and image-based features from UAV data

Autor: Richard Sliuzas, C.M. Gevaert, George Vosselman, Claudio Persello

Publikováno v: ISPRS journal of photogrammetry and remote sensing, 125, 225-236. Elsevier

Unmanned Aerial Vehicles (UAVs) are capable of providing very high resolution and up-to-date information to support informal settlement upgrading projects. In order to provide accurate basemaps, urban scene understanding through the identification an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0775c420df901478bc7d6329d4d7c400
https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2017/isi/gevaert_inf.pdf

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Using UAVs for map creation and updating. A case study in Rwanda

Autor: Francesco Nex, M. Muneza, C.M. Gevaert, Markus Gerke, Mila Koeva

Publikováno v: Survey review, 50(361), 312-325. Taylor & Francis

Aerial or satellite images are conventionally used for geospatial data collection. However, unmanned aerial vehicles (UAVs) are emerging as a suitable technology for providing very high spatial and temporal resolution data at a low cost. This paper a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::094b2267241ce679e06a187edc0ea4da
https://doi.org/10.1080/00396265.2016.1268756

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The Generic Slum Ontology: Can a Global Slum Repository be created?

Autor: Divyani Kohli, C.M. Gevaert, Monika Kuffer

Publikováno v: IEEE-Joint Urban Remote Sensing Event, 2019
JURSE

Slums are home to approximately one quarter of the world’s urban population, in most cities of the Global South the majority of the urban population lives in such areas. In support of global slum eradication and transformation policies, such as the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a438c532faa7a12a28058b4cff34e572
https://research.utwente.nl/en/publications/d14a07fe-831b-4fb9-9f61-2bc04a91f4be

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