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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
GEOGRAPHICAL INFORMATION SYSTEMS AND DIGITAL MODELS
Aiman Malla Houech Al Mahmoud Ph.D.
Public Authority for Housing Welfare, Department of Planning, Kuwait - aiman_almahmoud@yahoo.com
Commission ,PS WG IV/6 Landscape Modelling and Visualization
KEY WORDS: GIS, DBM/DTM
ABSTRACT
This paper discusses problems, connected with description of technological processes in manipulating and using of existing data
within the GIS. In this context, 1 will also deal with the accompanying stages of creating Digital Building Models
(DBM).Furthermore, I will also discuss problems and errors faced due to the natures of the automation processes. Finally, I will also
highlight the role which the contemporary Digital Photogrammetric Technologies play in the information systems for urban planning
and management.
Introduction
The automation of the generation of 3D city models as required
by many users of Geographic Information Systems has become
a major focus of photogrammetric research in the past few
years. Starting with 2D image processing techniques,
researchers did soon turn towards 3D approaches like grouping
features matched in multiple images. The automatic extraction
of parametric and prismatic building models from digital
elevation models generated by photogrammetric techniques or
airborne laser scanning .
The best and must complete cartographic products can be
obtained by photogrammetric survey at a proper scale, a correct
scanning of existing cartography submitted to a robust
georeferencing process, can give acceptable cartographic
products for GIS applications.
Problems of manually managins 3D objects representation
Digital orthophotos in combination with GIS are a suitable
instrument for input data for changes in mapping rapidly
growing cities. It is expected that in the 21% century, more than
70% of earth inhabitants will live in cities. Therefore accurate
mapping of cities in digital orthophotos is very important. There
are systems for digital orthophoto, which are not present as
objects until now such as buildings, bridges or highways as a
3D. Therefore middle scale (1:5000 -1:10000) orthophotos of
urban areas show disturbing geometric errors in the form of
displacement and double mapping [1].
Erroneous pixels in common digital orthophotos exist in excess
of 8%, depending mainly on building density and height .This
causes serious problems for further applications such as data
overlay, 2D coordinate measurement or 3D visualization. This
paper presents a method for accurate mapping of 3D objects in
digital orthophotos. It is based on image separation and
independent rectification of terrain and building areas.
The proposed solution for accurately mapped orthophotos calls
for requires the following processes :
* Digital building model.
* Building orthophoto computation.
* Terrain orthophoto computation.
481
The digital building model determine the shape of each building
and is required for the subsequent process of building
orthophoto. Since conventional orthophotos system can hardly
model building surfaces and is not concerned with hidden
surfaces, an algorithm has been developed for this purpose. The
result of this process is an orthophoto of all buildings.
Digital Building Model (DBM)
There are many types of 3D-objects visible in aerial images.
Natural objects such as trees will not be considered in this work
.An overview of buildings and their representations is given in
Fig.1.
Fig.1. Overview of buildings and their representations
A flexible solution to model this types of objects is boundary
representation. ~~ This technique uses geometric to describe
objects boundaries. It is sufficient to choose triangles and
quadrangles as geometric . Beside the geometric shape which
the building model represent, it also attribute information for
each geometric primitive. The digital building model
distinguishes between primitives that are
visible in the orthophoto (e.g. roof) and invisible(e.g. wall,
vertical element, etc).
Methods of data acquisition for building digital model
(DBM)
Currently data capturing for building models usually is done
manually on analytical or digital photogrammetric stereo-
digitizers. In procedures, sufficient to ^ automated data
acquisition, applying digital techniques are still under