359-Sightline Control Basics for Geo-Pointing and Locating - Part 2
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Describe theory and system level architectures
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This part of the course will apply the sightline control (SLC)
fundamentals described in Part 1.0 to the geo-pointing and location problem.
Initially Section 1.0 Part 1.0 is reviewed, particularly pointing performance
requirements which directly impact geo-pointing and location performance. Geo-pointing
is then described, effectively delving deeper into the material begun in
section 8.0 in Part 1.0 of the course. Geo-pointing errors are related back to
the SLC pointing problem with its limitations serving as a foundation for
pursuing different geo-location approaches. Geo-location techniques are
generally categorized as either direct or image geo-registration derived. The
errors associated with the pointing solution for direct geo-pointing provide a
basis for examining geo-location techniques that use image geo-registration to
improve performance. Image geo-registration is also used in many
applications that require geo-referenced sensed imagery as well as location; discussed in Section 4.0 of Part 2.0 of the course. As this is
effectively a technology in itself, only the salient aspects of the process are
reviewed but should provide a source for further study and investigation, if of
interest. Regardless of the geo-location technique used, however, geo-pointing
will generally be part of the solution. If not the solution, it will provide
coarse location estimates for the image geo-registration process. A substantial
amount of image spatial processing is required to obtain an accurate solution
to an image geo-registered location and the processing is described at a
functional system level to capture the overall design process. The benefits
that image geo-registration provides beyond that of location are significant
since it can used to obtain situational awareness as defined for many
applications. Military and civilian surveillance is an obvious application, but
even the use of image
information within the transportation infrastructure for highway and bridge maintenance
management, damage and structural deterioration assessment, traffic pattern
analysis and control, etc. is a growing application. The goal of this part of
the course is to provide a system level functional description of the
geo-location process and how performance relates back to that of geo-pointing with
SLC. The camera sensor requirements for image geo-registration location are
discussed in Part 3.0, the last part of the course.
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