GEOTurbo Introducing Presented by:. Company History Established in 1998 by world-renowned expert, Dr. Stanley Osher We produce high quality image processing.

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Presentation transcript:

GEOTurbo Introducing Presented by:

Company History Established in 1998 by world-renowned expert, Dr. Stanley Osher We produce high quality image processing and data compression software We use cutting edge algorithms using advanced computational methods We have been awarded several patents for our compression technology Our complete software package GeoTurbo is ready and available for purchase

What is GEOTurbo? Advanced Software package and plug-in developed for ArcGIS/ArcView platform It contains highly efficient tools for compression and denoising of geospatial data This is the culmination of careful research, testing and design efforts motivated by the needs of the National Geospatial Agency

Why do I need GeoTurbo? Best compression of geospatial data Unique method for 3D compression of unorganized data points Fastest and most accurate denoising method available today Allows ESRI users to manipulate, compress and process data with easily integrated plug-in, available for download at

Why do I need GeoTurbo compression? Collected data take up huge amounts of storage and bandwidth Processed and accurately compressed data is necessary for recognition, path planning, line-of-sight calculations Faster transmission times, decreased storage requirements, accurate results make technology indispensable

GeoTurbo Capabilities 2D and 3D compression Image Denoising 3D Surface Reconstruction Image Processing Techniques: smoothing, dynamic visibility, path planning, topographical structures, quantization Import/Export LIDAR LAS formats

Processed original data size: 24MB compressed image: 175 KB *original point cloud data size: 7 MB GeoTurbo Compression for Unorganized Point Cloud Data

GeoTurbo Surface Reconstruction and Compression of 3D Point Cloud Data Reconstructed SurfaceSurface after compression with compression ratio 56:1 Input point cloud data

GeoTurbo Surface and Point Cloud Denoising Reconstructed surface from point cloud data on the left, and denoised surface on the right. Sharp features are preserved in the denoising process. The point cloud can be denoised by reconstruction the surface, denoising the surface, and then extracting a point cloud from the denoised surface.

Accuracy of GeoTurbo Compression Path Planning The above demonstrates that path planning on the compressed data is accurate and very close to the paths computed on the uncompressed data.

How does GeoTurbo compression work?  Benefits:  Average storage savings = 30-50%  Errors in height decreased by 10-30%  Errors in gradient decreased 30-50%  Enhanced performance of applications using compressed data Take original image Compress Decompress Preprocess/encode Compress Decompress/decode

Original ___ original data LSS compression Non-LSS compression How does GEOTurbo compressed data improve things? Example: More Accurate Visibility Green = starting point Red = shortest path to see the red pt. Blue = shortest path to see both the red and blue points Comparison using compressed data

GEOTurbo License Option OptionFunctions StandardLSS Image Compression Drainage Visibility Smoothing Geodesics Quantization Adaptive Compression ProfessionalLSS 3D Compression Import/Export LIDAR Shrink-Wrap Denoising Requires Standard License

GEOTurbo License Pricing OptionPrice Standard (Machine License)U$8000 Professional (Machine License)U$12000 ☞ GEOTurbo seats include the first year of maintenance with purchase ☞ Standard software maintenance is 18% of the current list price for GEOTurbo.

How to Contact LSS Level Set Systems 1058 Embury St. Pacific Palisades, CA Phone: (310) Web: Contact us for a free trial version of GeoTurbo