IQmulus is a network of organisations interested in the processing of 'big data' point clouds such as datasets produced by Lidar, Sonar and Laser Mobile Mapping. Members range from ICT organisations developing the latest computing infrastructures, to research organisations developing the latest algorithms, and end users applying ideas to support reliable decision making. If you share any of these interests we would be pleased to hear from you!


Change detection by comparing DEMs from different dates [Workflow MS4]


Detection of surface changes from bathymetric point clouds and existing elevation models will address user stories including coastal monitoring, geomorphology, physical oceanography, etc. 2D Displacement measurement using DSM/DTM/DEM and optical images using sub- pixel image cross-correlation with spatial regularization for measuring submarine dune migration.

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IQmulus Demo System


The best way to start your IQmulus experience is by clicking around the IQmulus Demo System (IQDS). This is a fully functional installation of the IQmulus System with sample data and predefined workflows, yet you are free to make modifications and run processes.

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Visualising Point Clouds and Surfaces on the IQmulus Project

Presentation: Visualising Point Clouds and Surfaces on the IQmulus Project

HR Wallingford Exchange Forum, Howbery Park,19th July 2017

The IQmulus project addressed the challenge of taking geospatial point cloud and coverage data and interpreting it with functions such as interpolation, feature detection and change detection so that it could be more easily used for decision-making tasks. One key aspect of HR Wallingford’s role on the project was to investigate processing and visualising bathymetry datasets using the SeaZone holdings of bathymetry surveys. The purpose of this presentation is to describe and, where possible, demonstrate key visualisation applications developed at HR Wallingford.

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