TY - GEN
T1 - The TUM-DLR Multimodal Earth Observation Evaluation Benchmark
AU - Koch, Tobias
AU - Dangelo, Pablo
AU - Kurz, Franz
AU - Fraundorfer, F.
AU - Reinartz, Peter
AU - Korner, Marco
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/16
Y1 - 2016/12/16
N2 - We present a new dataset for development, benchmarking, and evaluation of remote sensing and earth observation approaches with special focus on converging perspectives. In order to provide data with different modalities, we observed the same scene using satellites, airplanes, unmanned aerial vehicles (UAV), and smartphones. The dataset is further complemented by ground-truth information and baseline results for different application scenarios. The provided data can be freely used by anybody interested in remote sensing and earth observation and will be continuously augmented and updated.
AB - We present a new dataset for development, benchmarking, and evaluation of remote sensing and earth observation approaches with special focus on converging perspectives. In order to provide data with different modalities, we observed the same scene using satellites, airplanes, unmanned aerial vehicles (UAV), and smartphones. The dataset is further complemented by ground-truth information and baseline results for different application scenarios. The provided data can be freely used by anybody interested in remote sensing and earth observation and will be continuously augmented and updated.
UR - https://www.scopus.com/pages/publications/85010193000
U2 - 10.1109/CVPRW.2016.92
DO - 10.1109/CVPRW.2016.92
M3 - Conference contribution
AN - SCOPUS:85010193000
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 698
EP - 705
BT - Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016
PB - IEEE Computer Society
T2 - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016
Y2 - 26 June 2016 through 1 July 2016
ER -