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Improved material/mineral discrimination can be achieved by first categorizing
pixels into higher level groups (mineral groups, vegetation, etc). Subsequent processing
then focuses on discriminating pixels based on their group. For example, the map
on the right displays the potential for Hematite, Clay and Carbonate Mineral groups
(R,G,B channels, respectively). Click
to view larger image.
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The mission of the Harris Geospatial Imagery Core Technology Center (CTC) is to provide
best-in-class expertise in the identification, design, development and advancement
of geospatial imaging-related engineering technologies. The Geospatial Imagery CTC
stays abreast of industry trends and develops strategies for emerging and disruptive
geospatial imaging technologies in order to provide best value, high quality, and
innovative engineering solutions for Harris customers. With over 30 scientists,
engineers, and technicians specializing in the development of technology to process
remotely sensed imagery data into useful information. Harris applies an integrated
system engineering approach and advanced, enabling technologies to develop unique
solutions for applications through:
- Dedicated, long term IR&D investment
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Design and development of image processing, image exploitation/visualization, and
digital product generation techniques
The goals and objectives of the Geospatial Imagery Core Technology Center include:
- Fostering relationships with leading academic institutions
- Association with leading government laboratories
- Strategic industry partnerships
- Participation in industry forums
- Identifying and addressing current technology issues
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Identification and development of innovative solutions for customers
Harris is a nationally recognized leader in the field of geospatial image processing
with cutting-edge capabilities in the design, development and utilization of software
and special processes to design and develop state-of-the-art products including:
- Auto Registration—cross-sensor, mono or stereo reference, dynamic video worm, targeting/ground
point estimation, rigorous error model propagation
- Spectral Data Processing—atmospheric correction, temperature/emissivity separation,
modeling and simulation
- Radar Data Processing—ground moving target indication, image formation, multi-static
processing, volumetric processing
- LIDAR Data Processing—semi-automated/automated site model generation from LIDAR
data, 3-D LADAR simulation tools, processing and visualization, 3-D Registration
- Motion Imagery—geo-registration, targeting/ground point estimation, mensuration/accuracy
assessment, mosaicking/still product generation, automatic target cueing, MTI
- Autonomous Feature Extraction—clouds/shadows, water, land, roads, done in 3-D, utilizes
multiple sensors if available
- Change Detection
- 3-D Urban Site Model Production
- Topographic Processing—rigorous & robust stereo elevation extraction process, solid
elevation merge capabilities, elevation data quality assessment tools
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Terrain and 3-D Urban Site Model Visualization
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