EC-3D is a powerful cleaning tool available in the Point Cleaning Toolbox from NaviModel.
Efficient 3D cleaning through support of several methods.
Unlike other cleaning/data processing tools, such as S-CAN or CUBE/CHRT, which are applied on DTM cells, EC-3D examines each point in the 3D sonar or laser point cloud to determine if it is noise or real data. Among other benefits, this means that you can remove noise while preserving real world artefacts, which other tools might mistakenly consider to be noise.
EC-3D supports several cleaning methods:
- Distance to neighbour
- Neighbours in sphere
- Distance to average surface
- K nearest neighbours mean distance
- K nearest neighbours mean Z distance
- Z summation in circle
The various approaches are useful for different applications and can be applied on top of each other.
Proven high data cleaning performance
EC-3D is sensor independent. That is, no knowledge of the sensor is required for the tool to work. It has a very high performance and offers the possibility of automation when installed together with the NaviSuite Workflow Manager.
Until now, S-CAN was the fastest cleaning implementation available in the market, but EC-3D is many times faster – in fact, typically 10 times faster. Cleaning a point cloud of 10 million points takes 2.5 seconds, and 3.6 million points (typical sonar block size) only takes 1 second, so there is no risk of EC-3D becoming a bottleneck in point cloud processing.
More details about the EC-3D cleaning tool in the Help section of the NaviModel.
