isprs annals IV 4 W3 71 2017
Teks penuh
Gambar
Garis besar
Dokumen terkait
In a more quantitative way, from the 2011 image of the area of flight, it was possible to geo-reference the UAV image using ENVI and estimate the central pixel latitude and
A large number of datasets has been developed in order to pro- pose supervised learning and validation for fundamental vision tasks, such as optical flow ( Geiger et al., 2012
The histograms in Figure 9 show the derived errors to the ground truth poses. Figure 9.a and 9.b show the spatial errors of our VGG16-Net respectively SqueezePoseNet to ground
We evaluate the influence of the semantic segmentation according to the 3D reconstruction and show that the automated semantic separation in wiry and dense objects of the
Image observations from D1 and D2, and absolute position and orientation control for the D2 ones, obtained from INS/GNSS (we assume that images from D2 are time-tagged via the
Our proposed conceptual framework for engaging youth in reflections about their neighbourhood and co-creation of places and spaces includes using modelling tools
Smart cities intelligence system (SMACiSYS) for research on smart city enhancements through sensor web, spatial data infrastructure (SDI) and interdisciplinary
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W3, 2017 2nd International Conference on Smart Data and Smart Cities, 4–6 October