A 3DCNN-based method to land cover classification
Citation:
Xu, Zewei; Wang, Shaowen (2018): A 3DCNN-based method to land cover classification. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0024113_V1
Persistent link for this dataset:
Related Article Xu, Z., Guan, K., Casler, N., Peng, B., & Wang, S. (2018). A 3D convolutional neural network method for land cover classification using LiDAR and multi-temporal Landsat imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 423-434.
Dataset Description

A 3D CNN method to land cover classification using LiDAR and multitemporal imagery
Subject Physical Sciences
Keywords 3DCNN; land cover classification; LiDAR; multitemporal imagery
License CC BY
Funder U.S. Geological Survey (USGS)
Corresponding Creator Zewei Xu
Downloaded 247 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-0024113_V1 2018-12-13
Open in Globus File Manager what's this?
461 MB File

Contact the Research Data Service for help interpreting this log.

update: {"version_comment"=>[nil, ""], "subject"=>[nil, "Physical Sciences"]} 2019-01-02T17:19:31Z