Compressing Large Datasets from UAVs (and Other Aerial Platforms)

In my posts on a possible future with many UAVs flying capturing data across rural areas and then choosing to process themselves or send out processing to other companies/agencies, it brings up a problem of storage with huge images and points.

One solution is Hexagon Geospatial’s GeoCompressor, it can be used with straight up multi-image compression or as the next step in the workflow after using a ortho mosaic program like ERDAS IMAGINE (or any mosaic of your choice, it just needs a input dataset) which allows more control in the process like seam lines, blending, feathering, color balance, output preview, etc…

It also allows for compression of LiDAR data with PointCompressor, it compresses .LAS and .LAZ files into a .HPC format that is used across Intergraph software options.  It does not mosaic point clouds, like images, the other processing before this stage is done with other software packages, this is just a compressor to reduce storage space of point clouds.

The Technical Manual is worth reviewing, it goes into the specifics of image and point cloud compression settings and licensing level options for features, which comes down to maximum image size and computer processing facility size and setup.

Even though UAV flights are currently limited in the United States, it is expected to be more widespread by 2017 with a higher demand for image and point cloud compression and storage.


About Chuck Schoeneberger

Former forecaster at Meridian Environmental Technologies Inc (now a Interis Company), with a background in GIS and LiDAR, with other stints at GeoSpatial Services of Winona, MN and Aerometric (Now Quantum Spatial) of Sheboygan, WI. He is a weather technologist for public storm safety from a local to international level. LinkedIn Profile: His views are his own and not of his employer.
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