TY - GEN
T1 - 2015 IEEE GRSS data fusion contest
T2 - Extremely high resolution LiDAR and optical data [Technical committees]
AU - Moser, Gabriele
AU - Tuia, Devis
AU - Shimoni, Michal
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2015/3/1
Y1 - 2015/3/1
N2 - The 2015 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), aims at providing a challenging image analysis opportunity, including multiresolution and multisensor fusion at extremely high resolution. The 2015 Contest involves two datasets acquired simultaneously by passive and active sensors. The passive data is a 5cm-resolution color ortho-photo acquired in the visible wavelength range. The active data source is a 65 pts/m2 LiDAR 3D point cloud that is provided both as raw 3D coordinates (ASCII format) and as a Digital Surface Model (DSM) with a point spacing of about 10 cm. The laser scan rate, angle, and frequency were 125 Hz, 20°, and 49 Hz, respectively. The LiDAR data include the first, last and one intermediate return.
AB - The 2015 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), aims at providing a challenging image analysis opportunity, including multiresolution and multisensor fusion at extremely high resolution. The 2015 Contest involves two datasets acquired simultaneously by passive and active sensors. The passive data is a 5cm-resolution color ortho-photo acquired in the visible wavelength range. The active data source is a 65 pts/m2 LiDAR 3D point cloud that is provided both as raw 3D coordinates (ASCII format) and as a Digital Surface Model (DSM) with a point spacing of about 10 cm. The laser scan rate, angle, and frequency were 125 Hz, 20°, and 49 Hz, respectively. The LiDAR data include the first, last and one intermediate return.
UR - http://www.scopus.com/inward/record.url?scp=84926442791&partnerID=8YFLogxK
U2 - 10.1109/MGRS.2015.2397448
DO - 10.1109/MGRS.2015.2397448
M3 - Article
AN - SCOPUS:84926442791
SN - 2473-2397
VL - 3
SP - 40
EP - 41
JO - IEEE Geoscience and Remote Sensing Magazine
JF - IEEE Geoscience and Remote Sensing Magazine
ER -