Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alex Levering"'
Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks
Publikováno v:
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
IGARSS
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE
IGARSS
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE
Urban planners are increasingly interested in understanding what makes a neighbourhood pleasant and liveable. In this paper, we use the overhead perspective as a new way to describe and understand liveability of city neighborhoods. We predict buildin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a2ec37bd4a304bcc4d3308c7a57e0e
https://research.wur.nl/en/publications/liveability-from-above-understanding-quality-of-life-with-overhea
https://research.wur.nl/en/publications/liveability-from-above-understanding-quality-of-life-with-overhea
Publikováno v:
Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2021
GeoAI@SIGSPATIAL
Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2021. Association for Computing Machinery, Inc
GeoAI@SIGSPATIAL
Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2021. Association for Computing Machinery, Inc
In our research we test data and models for the recognition of housing quality in the city of Amsterdam from ground-level and aerial imagery. For ground-level images we compare Google StreetView (GSV) to Flickr images. Our results show that GSV predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f17cfd61e4571da9bdcd8d438812b95
https://research.wur.nl/en/publications/cross-modal-learning-of-housing-quality-in-amsterdam
https://research.wur.nl/en/publications/cross-modal-learning-of-housing-quality-in-amsterdam
Autor:
Gerrit Hendriksen, Nelson Rangel-Buitrago, Alex Levering, Lars Rosendahl Appelquist, Joost Stronkhorst
Publikováno v:
Journal of Coastal Conservation. 22:787-798
Many coastlines throughout the world are retreating, as a result of erosion and sea level rise. The damage incurred to property, infrastructure, coastal flood defence, and the loss of ecosystem services and agricultural land have substantial economic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::631aa3555e15480fe8364c12ea07ca68
https://doi.org/10.1007/s11852-018-0609-x
https://doi.org/10.1007/s11852-018-0609-x
Publikováno v:
IEEE Transactions on Intelligent Vehicles, 6(1), 24-33
IEEE Transactions on Intelligent Vehicles 6 (2021) 1
IEEE Transactions on Intelligent Vehicles 6 (2021) 1
Safety on roads is of uttermost importance, especially in the context of autonomous vehicles. A critical need is to detect and communicate disruptive incidents early and effectively. In this paper we propose a system based on an off-the-shelf deep ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4338339eeee2b2fad3587987a1ed1bc
https://infoscience.epfl.ch/record/283349
https://infoscience.epfl.ch/record/283349
Publikováno v:
Levering, A, Marcos, D, van Vliet, J & Tuia, D 2023, ' Predicting the liveability of Dutch cities with aerial images and semantic intermediate concepts ', Remote Sensing of Environment, vol. 287, 113454, pp. 1-14 . https://doi.org/10.1016/j.rse.2023.113454
Remote Sensing of Environment, 287:113454, 1-14. Elsevier Inc.
Remote Sensing of Environment 287 (2023)
Remote Sensing of Environment, 287
Remote Sensing of Environment, 287:113454, 1-14. Elsevier Inc.
Remote Sensing of Environment 287 (2023)
Remote Sensing of Environment, 287
In order to provide urban residents with suitable living conditions, it is essential to keep track of the liveability of neighbourhoods. This is traditionally done through surveys and by predictive modelling. However, surveying on a large scale is ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd51aeb3c3d34dad37d65ed271d478af
https://infoscience.epfl.ch/record/299742
https://infoscience.epfl.ch/record/299742
Autor:
Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Haberle, Eike Jens Hoffmann, Hannes Taubenbock, Devis Tuia, Alex Levering, Nathan Jacobs, Anna Kruspe, Karam Abdulahhad
Publikováno v:
IEEE Geoscience and Remote Sensing Magazine, 10(4), 150-180
IEEE Geoscience and Remote Sensing Magazine 10 (2022) 4
IEEE Geoscience and Remote Sensing Magazine 10 (2022) 4
As unconventional sources of geoinformation, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multiperspective stream, but with unknown and diverse quality. Due to its complementarity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4881e79b7eab0280b29722db47f18747
https://infoscience.epfl.ch/record/301528
https://infoscience.epfl.ch/record/301528
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing, 177, 194-203
ISPRS Journal of Photogrammetry and Remote Sensing 177 (2021)
ISPRS Journal of Photogrammetry and Remote Sensing 177 (2021)
The environment where we live and recreate can have a significant effect on our well-being. More beautiful landscapes have considerable benefits to both health and quality of life. When we chose where to live or our next holiday destination, we do so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8841c5d23d3c1df5c6d4f54b285c4dbb
https://infoscience.epfl.ch/record/285882
https://infoscience.epfl.ch/record/285882