This paper was presented at IEEE ICSGRC 2012 Penang

2. CONTENT
• INTRODUCTION
• AIM & OBJECTIVES
• RESEARCH METHODOLOGY
• RESULTS
• CONCLUDING REMARKS
• ACKNOWLEDGEMENT

3. INTRODUCTION
 The photographic image captured using the sensor from the air or
ground earth is an important source of geographical information related to
the area or object of interest. This information can be used for various
applications such as topographic mapping, archeology, architecture,
planning, industrial, medical and land use
 The diversity of the present photogrammetry technology, especially
platform to place sensor such as unmanned aerial vehicle (UAV) has
boosted its application in mapping, planning, land use, mining, scientific
research, monitoring application such as slope monitoring and accident
scene and others
 Geoinformation technology mentioned above is recognized as
photogrammetry. Photogrammetry is the technique that can be used for 3D
object measurement and modeling using photographs/imageries

4. INTRODUCTION…
INTRODUCTION…
 In photogrammetry, the basic concept involves the acquisition of two
successive photographs which overlapped to one another that are
necessary to allow the object image projection applies for the purpose of
3D measurement and modeling as shown in Figure below
Two successive photographs (left and right photograph) for 3D
measurement and modeling

5. AIM & OBJECTIVES
 In this study, aerial photogrammetry data is integrated with close range
photogrammetry data to construct 3D heritage building model. In another
word the data will cover from bottom to the top of heritage building.

6. METHODOLOGY

7. METHODOLOGY…
METHODOLOGY…
In this study, high resolution Sony
Alpha NEX-5N digital camera has
been used in acquiring simulation
heritage building model. This type of
camera has 16.1MP CMOS sensor
and 1080p 60p HD movies in
AVCHD format.

8. METHODOLOGY…
METHODOLOGY…

9. METHODOLOGY…
METHODOLOGY…
 B. Data Acquisition
In this study, aerial photogrammetry data is integrated with close range
photogrammetry data to construct 3D heritage building model. In
another word the data will cover from bottom to the top of heritage
building.
For the purpose of the study, one of the Universiti Teknologi Malaysia
buildings is simulated as a heritage building.
Data Acquisition flows as follow;

10. METHODOLOGY…
METHODOLOGY…
Aerial Close Range Photogrammetry Data Acquisition flows as follow;

11. METHODOLOGY…
METHODOLOGY…
Aerial / Ground Close Range Photogrammetry Data Acquisition images as follow;

12. RESULTS
A. Orthophoto (Topographic Map)
Figure below shows the Orthophoto of the study area generated by
combination of images captured by UAV (using Erdas Imagine Software)

13. RESULTS
B. Building Modeling using Photogrammetry Method
Figures show the modeling flow using photogrammetry method.

14. RESULTS
C. Data Quality Control

15. RESULTS
C. Data Quality Control (Cont..)

16. CONCLUDING REMARKS
 The main advantage of photogrammetric modeling is the economy of
procedure.
The terrain work is much shorter compared to on site measuring dimensions.
Time needed for modeling is about the same as time needed for drawing object.
 Greater quantity of information is obtained using 3D modeling compared to
drawing in 2D. When 3D model is completed, it is possible to generate any
orthogonal or central object projection.
Model can be exported in other modeling or animation software which allows
further treatment (element editing, adding lighting, creating dynamic view, etc.).

17. CONCLUDING REMARKS
 The 3D building structure of this simulation building had successfully been
produced using digital close range photogrammetry (DCRP) approach integrated
with images captured using rotary wing UAV which is based on aerial
photogrammetric technique
FURTHER RESEARCH
Our next task is to model the entire new FGRE building based on DCRP and
subsequently combine with the footprint of the building on a common reference
coordinate system and GIS environment

18. CURRENT WORK ON UAV
 Land slide monitoring
 Soil erosion monitoring
 Construction site progress monitoring

19. ACKNOWLEDGEMENT
The authors also wished to thank
Institute of Geospatial Science and Technology (INSTEG)
Faculty of Geoinformation & Real Estate,
Universiti Teknologi Malaysia
&
Pixelgrammetry & Al-Idrisi Research Group (Pi_ALiRG)
Centre of Studies Surveying Science and Geomatics,
Faculty of Architecture, Planning and Surveying,
Universiti Teknologi MARA
THANK YOU
THANK YOU