The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
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• They require volumetric delimitation of the objects that
want to be rectified using stereoscopic restitution
techniques, which means a product’s price increase.
Therefore, a delay in orthophoto coverage generation,
which is not assumable nowadays.
• They do not do an analysis of multiple incidences that
considers the best perspective solution to avoid
stretching and occluded areas.
• They are semi-automatic, it is necessary to decide which
photographs are needed for the final completion of true
ortho.
• They do not resolve the appearance of dark areas due to
shadows, attenuating or eliminating them.
As a result, there is not a demand of this product, therefore,
there are few new applications derived from an improvement of
the study and interpretation of aerial imagery. It is essential to
evolve in this sense and review the acquisition and production
systems to lower prices and times of production.
Motivated by the problems from actual orthoimagery, with the
interest of improving their quality, to allow getting planimetric
measurements directly from any element represented, and that
the most of the surface is displayed with the highest radiometric
quality, the DATOS project was proposed, funded by the
Ministry of Industry, Tourism and Commerce within the
PROFIT program. The main objective was to develop a
prototype of True Ortho-Rectification Software to reduce to the
maximum the unfavourable elements that increase the price in a
disproportionate way, not allowing its use within the GIS and
Cartography market.
A derived objective of the True Orthophotos availability was
the rapidity and simplicity of extracting information directly
from the imagery in a precise way, with no need of extra field
work. Therefore, this benefits the higher availability of
geographic information not just for the different professional
sectors but for the citizens. The orthoimage coverage is
obtained rapidly, they are integrated easily in Cartographic and
GIS servers, from which it would be possible to update special
data with computer technology not very specialized and easy-
use tools.
2.1 Preliminary Studies
Because of the complexity of the problem, it was raised the
need to do a preliminary study that allowed to know in detail
the actual problematic of True Orthophoto production within
urban areas (Antequera, 2005) including a review of the actual
methods and its procurement, to both commercial and
investigation levels.
The direct analysis of the real problems derived from the actual
scheme of Ortho-Rectification in urban areas has allowed a
detailed study of existent problems within large scale
orthoimagery in urban areas. On the other hand, this stage has
also been useful to review the actual solutions implemented in
commercial software.
One of the conclusions of this study was that the requirements
of a GO should be normalized from a geometric point of view,
not just because of the precision parameters established for an
equivalent cartography, but also for the critical distance in
which unaccepted occluded areas appear, such as the
disappearance of very stretch streets due to leaning buildings.
The preliminary study allows us to do an optimal planning of
projects (depending on the buildings height and urban structure
orientation, the flight axis is planned and the focal distance and
overlapping percentages more adequate are chosen) minimizing
the effects of occlusions appearing in GO, and also confirming
the production problems from actual solutions invaliding this
procedure.
Once the principal problems was established, the actual
methods of True Orthophoto generation have been revised. This
task have allowed to put on scene the most advanced methods
actually in research, to begin from the actual developments and
try to improve the procedures and algorithms already
experimented, and to consider the best solution to develop the
LRTO application.
2.2 State of the Art
The actual methodology requires the volume definition of the
objects (in vector format) that appears leaning in the aerial
photography. This is a not automatic process, which needs
specific human, software and hardware resources increasing the
cost of the product and make complicate its introduction within
the GIS and Mapping market. Moreover, its geometric quality is
not enough precise as it is required according to the scale
tolerances. Any error in the imagery orientation, like the error
from the capture, makes the existence of a disorder between the
vector and the image that does not allow the direct application
in the calculation of the true ortho. This problem has been
occurring historically in the production of linear maps,
according with technology and needs of the moment, that have
served for a determined application, but that have been replaced
by newer coverts that require higher precision and a new
structure of information adapted to new tools of exploitation.
Actual technology allows precise and economic DSM
production. A perfect knowledge of the digital elevation model
allows a perfect correction of aerial photographs. LIDAR
systems offer in an automatic way a great density of data in its
first return where the real surface of terrain is shown. The
knowledge of building contours and the definition of objects
methodologies have been registered very important
improvement related with the automatic (and semi-automatic)
data extraction processes. Its implementation within
orthorectification processes is immediate, nevertheless a review
of the rectification algorithms is needed, that bear in mind this
information. The differential methods developed and calculation
strategies to simplify the orthorectification process, that allowed
the procurement of digital orthoimages very efficiently, must be
improved to rectify pixel by pixel methods, looking at all the
information within the photograph and is corresponding
elevation in the terrain.
Most of existent techniques of true ortho generation are based
in algorithms of Z-Buffer visibility (Catmull, 1974; Amhar et
al., 1998; Rau et al., 2000; Rau et al., 2002; Sheng et al., 2003;
Zhou, 2005), imposing to methods of occluding areas detection
from digital models of buildings combined with digital models
of terrain (Amhar et al., 1996; Kuzmin et al., 2004), that require
the availability of high acquisition cost data.
Methods based in Z-Buffer algorithms resolve the ambiguity of
each orthophoto pixel considering the distance of the
perspective centre to the point in question, considering visible
the closest ones. Nevertheless, this technique presents certain
problems that make these algorithms not to be implemented in
market solutions:
• Sensibility to digital terrain model resolution in relation
to image resolution, which effect implies an imprecise
detection of not visible zones.
• The need to introduce additional points in building
fronts that implies to come back to the use of digital
models of buildings.