A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
MODEL FOR SEMANTICALLY RICH POINT CLOUD DATA
2017
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This paper proposes an interoperable model for managing high dimensional point clouds while integrating semantics. Point clouds from sensors are a direct source of information physically describing a 3D state of the recorded environment. As such, they are an exhaustive representation of the real world at every scale: 3D reality-based spatial data. Their generation is increasingly fast but processing routines and data models lack of knowledge to reason from information extraction rather than
doi:10.5194/isprs-annals-iv-4-w5-107-2017
fatcat:e2l7ztw6obd3vklkzlq6n7yzzu