Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

3 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China. Piscataway: IEEE, 2016
Place of PublicationPiscataway
PublisherIEEE
Pages1508-1511
Number of pages4
ISBN (Print)978-1-5090-3332-4
DOIs
Publication statusPublished - 2016
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016: Advancing the Understanding of Our Living Planet - Beijing, China
Duration: 10 Jul 201615 Jul 2016
http://www.igarss2016.org/

Publication series

NameIGARSS
Number2016

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Abbreviated titleIGARSS
CountryChina
CityBeijing
Period10/07/1615/07/16
Internet address

Keywords

  • METIS-321238

Cite this

Gevaert, C. M., Persello, C., Sliuzas, R. V., & Vosselman, G. (2016). Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning. In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China. Piscataway: IEEE, 2016 (pp. 1508-1511). (IGARSS; No. 2016). Piscataway: IEEE. https://doi.org/10.1109/IGARSS.2016.7729385