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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004
camera calibration, image matching, surface reconstruction,
image-to-image registration, and absolute orientation). For
example, straight-line segments from existing GIS databases
can be used to estimate the EOP of a single image (SPR). Such
integration of object space vector data with aerial imagery
would allow for detecting changes and updating applications.
Straight lines can be also used either as control or tie features in
photogrammetric triangulation procedures involving frame or
linear array scanners. For frame cameras, the straight-lines will
allow for the recovery of the IOP of the implemented camera. In
addition, straight-lines will lead to a reliable recovery of the
EOP associated with scenes captured by linear array scanners.
In addition, linear features offer a significant advantage in
solving image matching and surface reconstruction problems,
especially when dealing with large-scale imagery over urban
areas.
Finally, we outlined a methodology for incorporating linear
features in image-to-image and surface-to-surface registration
tasks. Such a methodology is valuable for registering multi-
source imagery with varying geometric and radiometric
resolutions. Moreover, it can be used as a tool for utilizing
LIDAR surfaces as control information for photogrammetric
triangulation and the calibration of LIDAR/photogrammetric
systems.
Future research will concentrate on automatic extraction of
linear features from imagery. Incorporating linear features in
approximate sensor models, such as rational functions, direct
linear transformation and parallel projection models, will also
be investigated. Finally, future work will focus on incorporating
linear features in surface reconstruction, object recognition,
change detection, and map updating activities.
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