Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images

C. Persello, M. Dalponte, T. Gobakken, E. Naesset

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

1 Citation (Scopus)
Original languageEnglish
Title of host publicationProceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2013), 21-26 July 2013, Melbourne, Australia.
Place of PublicationWashington D.C., USA
PublisherIEEE
Pages2091-2094
ISBN (Print)978-1-4799-1114-1
DOIs
Publication statusPublished - 2013

Keywords

  • ADLIB-ART-4777

Cite this

Persello, C., Dalponte, M., Gobakken, T., & Naesset, E. (2013). Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2013), 21-26 July 2013, Melbourne, Australia. (pp. 2091-2094). Washington D.C., USA: IEEE. https://doi.org/10.1109/IGARSS.2013.6723224