TRUE ORTHOIMAGE GENERATION
IN CLOSE RANGE PHOTOGRAMMETRY
Efstratios Stylianidis
Dept. of Cadastre, Photogrammetry and Cartography, Aristotle University of Thessaloniki,
stratos(@geoimaging.com.cy
Commission V, WG V/4
KEY WORDS: Photogrammetry, Algorithm, Orthoimage, Close Range, Digital
ABSTRACT:
Digital orthoimage compose an efficient and economic way for
of information is functional when the user has to evaluate, ana
has to be performed on a single plane and the form of the object is not rough, the process is
rectification.
The orthoimage production of rough objects is sti
architectural or archaeological applications) where th
shape of the object. In most of the cases the points with
most established solutions used to build-up a mathematical shape description of
e object through the rectification process. In the last few years a novel expression,
[lustration of the object through the rectification development.
cannot provide the ultimate representation of th
the «true orthoimage» raised to describe the ideal i
This paper is a contribution on the rese
the representation of two-dimensional texture information. This kind
lyze or measure the objects presented in the image. If the projection
simple and well-known as simple
Il an on-going problem especially in close-range applications (for example
e major problem is that of the complication of the description of the analytical
identical XY co-ordinates display different heights. Regular grids are the
an object. In this way a conventional orthophoto
arch for the true orthoimages. The on-going study focuses on the description and test of a
solution which uses a 3D model for the creation of a true orthoimage in close range photogrammetric applications.
1. INTRODUCTION
The architectural objects consist of adequate items or structures
that can be described mathematically. The structures are
principally shaped by straight-line elements and usually are
highly characterized by rapid changes in surface continuity.
It is well known that the abrupt changes in surface represent
boundaries in the image and natural breaklines in the object
model. The development of tools and techniques that
automatically or semi-automatically detect and extract such
useful features has been discussed in various papers (Stylianidis
et. al., 2002; Stylianidis & Patias, 2002).
The increasing requirement for quick and accurate production
of surface models is a fundamental sub-process in the
framework of orthoimage generation. The development of
orthoimages requires a known surface, what is usually
described as DTM, DSM or DEM.
On the other side, orthoimage is one of the most attractive
photogrammetric product. The need for a quick production is
always a fundamental process in geomatics. Basically,
orthoimages can be separated. according to its production
method, into two categories: the conventional and the true one.
The conventional orthoimage production does not take into
account. objects that mathematically can be described like
buildings; due to the fact that the used DTM does not model
such kind of objects. This has the result to distort the features
from their correct position.
On the other side, based on a 3D or a 2.5D model the
orthoimage production process may take into account several
additional information for the production of a true orthoimage.
Various researches from different backgrounds and
perspectives. Amhar and Ecker (Amhar & Ecker, 1996)
proposed a novel solution for the generation of true orthoimage.
The procedure, applied to the production of orthoimages in
urban areas, use a DSM, which is been managed by means of a
relational database. Bocardo et al. (Bocardo et al. 2003)
developed software that uses terrestrial laser scanner data (very
dense DEM) in order to produce true orthoimage.
The paper describes the results of a research attempt for the true
orthoimage generation. The proposed framework is of special
interest in close-range applications.
2. PROBLEM DEFINITION
In close-range problems, particularly in architectural, industrial
or archaeological applications objects that are represented on
the images consist of mathematically structured surfaces, for
example planes. Such cases are frequently seen in building
facades where alcoves, balconies or any other similar structures
appear.
Under the above circumstances, three different approaches are
realistic:
= Single rectification
= Conventional orthoimage
= True orthoimage