54 Copyright © 2010 Open Geospatial Consortium The following example shows the principle: From MODIS scenes M1, M2, and M3, the
absolute of the difference between red and nir, in HDF-EOS, but only those where nir exceeds 127 somewhere inside region R”:
for c in M1, M2, M3 , r in R
where some c.nir 127 and r
return encode abs c.red - c.nir , hdf“
10.3.2 Motion Imagery
The integration of georeferenced motion video into a decision fusion environment, specifically as prescribed by Motion Imagery Standards Board MISB
2
specifications, was identified as a focal point of future work and specifically a topic for OWS-8. The
integration should be through a distributed, streaming, services based environment. The MISB standards are emerging as the defacto standards for motion video. Further
development will depend upon broader implementation. Inclusion of MISB access in an initiative like OWS-8 could serve to further exercise the standard and increase its profile
in the intelligence community with all participants. Intergraph and other OGC members have the technology to support these developments.
Distributed access to MISB formatted data through a services framework specified by existing OGC standards such as SWE and WCS should be tested in OWS-8. In terms of
executing on such an exercise, Intergraph can bring to the table high level COTS with a SWE WCS access. A second key component of any test bed activity can be Intergraph’s
Motion Video Analyst Professional MVAP that can access WMS, WFS and SWE data sources. This platform would allow for the examination and investigation of various
decision fusion scenarios including how to better exploit motion video when it is delivered in a geospatial context. WPS should be included to perform motion video
processing.
Specific topics identified in the Fusion Study Workshop were o
MISB coordination o
Motion imagery metadata o
Video Search and Annotation o
WPS for near real-time quality improvement of MISB video feeds
10.3.3 Fusion scenario: Flight path generation from hotspots
Figure 16 sketches a scenario using open standards for fusion. Multi-INT information is used to develop a flight path for a UAV. SIGINT information based upon cellular phone
traffic is geotagged. The collection of points can be processed into a density representation that can be used to command a UAV flight path. Geotagging can be done
using the OGC Georeferenced Table Joining Service TJS standard. The density
2
http:www.gwg.nga.milmisb
Co representation can be done using OGC WPS standard. Tasking the UAV can be done
using the OGC SPS standard.
Figure 16 - Fusion via Multi-INT integration Source: Intergraph, Inc. 10.3.4
Security and GeoDRM for Observations
Security and GeoDRM are different topics that typically get discussed at the same time as they did at the Fusion Workshop.
Secure SWE Architecture was a development in previous OWS Testbeds. The Fusion Workshop recommended the further development of a security architecture mission- and
role-based to enable observation fusion. Topics include multi-level authentication and control over imagery data collection
GeoDRM for data can also affect data fusion. For example, providing interoperable mechanisms for handling of licenses for commercial imagery would make the imagery
more widely available.
10.3.5 Registries for Observation Fusion
