FY03 Warfighter Technical Council WTC IPR - PowerPoint PPT Presentation

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FY03 Warfighter Technical Council WTC IPR

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FY03 Warfighter Technical Council WTC IPR – PowerPoint PPT presentation

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Title: FY03 Warfighter Technical Council WTC IPR


1
A GEOSPATIALLY ENABLED, PC-BASED, SOFTWARE TO
FUSE AND INTERACTIVELY VISUALIZE LARGE 4D/5D DATA
SETS
Makai Ocean Engineering, Inc. Presentation
for National Oceanic and Atmospheric
Administration (NOAA) August 13, 2008 Presented
by Dr. Jose Andres McKay Davis Jose.Andres_at_maka
i.com McKay.Davis_at_makai.com
2
MAKAI OCEAN ENGINEERING
  • Located on Oahu, Hawaii
  • Areas of expertise
  • GIS / Visualization Software
  • Submarine CablePlanning Installation Software
  • Ocean Renewable Energy

3
PROBLEM ADDRESSED EXISTING APPROACH
  • Understanding 3D/4D large data sets
  • Currently visualized using 2D layers
  • True 3D/4D visualization currently performed on
    large supercomputer clusters

2D VIEWS
4
TECHNICAL CHALLENGE LIMITATIONS OF 3D/4D
VISUALIZATION (VOLUME RENDERING)
  • Images terrain are associated with pixels (X,
    Y, color/value) i.e., 2D images
  • 4D/5D is associated with a voxels (X, Y, Z, time,
    multiple values)
  • Demands on memory to render 3D/4D data are two
    orders of magnitude greater than what is
    currently available with PC technology

5
NAVY APPLICATIONS (NAVOCEANO)
July 7
25 June
26 June
Regional Acoustic Assessment (Pd)
SNR transform to Pd (W.A. Albersheim)
MSRC
UNCLASSIFIED
6
ADVANCED CAPABILITIES (NAVOCEANO)
Probability of Detection (Pd) Map Varying in Time
Volume View for 5-25 July 06 Indicates Sea
Glider position every ¼ day
UNCLASSIFIED
7
WHAT ARE WE DEVELOPING?




8
MAKAIS GOALS
State of the Artalgorithms tovisualizeLARGE
amountsof volumetric datain a 3D/4D
interactivevirtualenvironment.
  • Terrain volumetric visualization of large
    databases
  • Fusing data from DIFFERENT sensors and databases
  • One single display can render 200 MILLION data
    points
  • Software allows for TIME VARYING data
  • DISPLAYED ON PCs, not supercomputers

9
MAKAIS TECHNICAL APPROACH
  • Makais visualization method is expected to be
    two orders of magnitude faster than conventional
    methods.This is achieved by using
  • Semi-transparent colored iso-surfaces ? FAST
  • New multi-threading capabilities of PC processors
  • Tiling technology for terrain, imagery
    volumetric data
  • Continuous Level of Detail (CLOD)
  • Compression techniques to minimize file sizes

RESULT We can use PCs instead of supercomputers
10
Funding History
  • CEROS (2006-2007)
  • Algorithms development and basic PC-based
    software
  • Proof-of-concept to retrieve data from remote
    locations
  • ONR (2008)
  • Enhanced, stand-alone PC based system
  • Platform independent
  • Spherical mapping
  • Multiple formats (e.g. , netCDF)
  • Multi-layers?

11
SAMPLE SCREENSHOTS
12
SAMPLE SCREENSHOT
13
Current Development (movie)
14
WHAT DATA CAN BE VISUALIZED?
  • Terrain/bathymetry and imagery at very high
    resolution
  • Sensors, moving assets, tracking targets
  • Any variable (scalar or vector) that changes in
    X, Y, Z, time
  • Very large datasets (GB to TB)
  • Interactive visualization (gt 20 fps) on a desktop
    PC
  • All data is geo-referenced
  • Interface (I/O) with other GIS systems

15
CURRENT TECHNOLOGY
  • Google Earth
  • Web-based, interactive geospatial application
  • Used for elevation and imagery data
  • Cannot show bathymetry or time dependent
    volumetric data

ArcGIS Explorer (by ESRI)
  • True GIS platform
  • Used for viewing spatial data, creating maps, and
    perform spatial analysis
  • Mainly for 2D data
  • Not highly interactive, even for small 3D/4D data
    sets

16
NOAA INVOLVEMENT
  • We would welcome the opportunity to work with
    NOAA to identify specific areas of application.
  • Participating in our development, NOAA has the
    opportunity to shape our development to better
    fit your needs.
  • Our development efforts would greatly benefit
    from your input and your technical and program
    support.

17
  • END

18
(No Transcript)
19
GOALS for 2008-2009 A CEROS PROJECT
  • Enhance data pre-processing software
  • Develop Client-Server management software
  • Develop advanced analysis tools (e.g., ESRI
    interfaces)
  • Generate geo-referenced outputs for Command
    Control

20
Comparison with other NAVO Tools
  • Makais 4D Visualization software will include
  • Advanced terrain visualization ( Google)using
    tiling, CLOD, import multipleimages, GIS shape
    CAD files in thescene, track moving targets,
    tools tocreate labels, routes and polygons,
    additionof 3D objects, measure distances, load
    geo-referenced points from files, etc.
  • 3D/4D visualization Show iso-surfaces,
    truevolume rendering and flow visualization in
    avariety of formats (NetCDF, ASCII,
    binary)using 32/64 bit processing, tiling, CLOD,
    andlatest GPU technology. Develop a variety of
    tools such as perform math operations with
    datasets, cutting slices and planes, measure
    distances between iso-surfaces, render data from
    sensors.
  • Provide a high performance 3D graphics toolkit
    (i.e., OSG - used by application developers in
    the fields of visual simulation, games, virtual
    reality and modeling) to better control and
    enhance the scene.

21
Expansion Possibilities
  • Include the ability to access data on-demand from
    a centralized or distributed server(s) network.
  • Expand capabilities to visualize real-time data
    from sensors.
  • Specific applications for NAVY (ASW, NSW, MWC,
    etc.)

22
Battlespace on Demand(The Three Tiers)
All Tiers to be developed simultaneously
Tier 3 the Decision Layer
  • Options / Courses of Action
  • Asset Allocation / Timing / Risk
  • GOAL Provide Information via Web
    Services and scheduled, tailored
    push products

Tier 2 the Performance Layer
Tier 1 the (forecast)
Environment Layer
Initial and Boundary Conditions
UNCLASSIFIED
23
MAKAI APPROACH - 1
  • New visualization method is expected to be two
    orders of magnitude faster than conventional
    methodsThis is achieved by using
  • New Multi-threading capabilities of PCs
  • Compression techniques to minimize file sizes

24
MAKAI APPROACH - 2
  • Tiling technology for terrain, imagery
    volumetric data
  • Semi-transparent colored iso-surfaces ? FAST

25
MAKAI APPROACH - 3
  • Continuous Level of Detail (CLOD) once tile is
    loaded in memory
  • RESULT We can use PCs instead of supercomputers
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