Feature assessment in object-based forest classification using airborne LiDAR data and high spatial resolution satellite imagery

Xiaoye Liu, Wendy Wright

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    1 Citation (Scopus)
    Original languageEnglish
    Title of host publicationProceedings of EORSA 2014
    EditorsQihao Weng, Paolo Gamba, George Xian, Guangxing Wang, Jianjun Zhu
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages393 - 397
    Number of pages5
    ISBN (Print)9781479941841
    DOIs
    Publication statusPublished - 2014
    EventInternational Workshop on Earth Observation and Remote Sensing Applications 2014 - Changsha China, USA
    Duration: 1 Jan 2014 → …

    Conference

    ConferenceInternational Workshop on Earth Observation and Remote Sensing Applications 2014
    CityUSA
    Period1/01/14 → …

    Cite this

    Liu, X., & Wright, W. (2014). Feature assessment in object-based forest classification using airborne LiDAR data and high spatial resolution satellite imagery. In Q. Weng, P. Gamba, G. Xian, G. Wang, & J. Zhu (Eds.), Proceedings of EORSA 2014 (pp. 393 - 397). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EORSA.2014.6927920