Full text: Proceedings, XXth congress (Part 3)

  
TRIPLET IMAGE MATCHING FOR AIRBORNE DIGITAL SENSOR ADS40 
Lin Zhu, Tadashi Sasagawa, Kikuo Tachibana, Yumiko Fukuzawa 
GIS Institute, PASCO Corporation 1-1-2 Higashiyama, Meguro-ku, Tokyo 153-0043, Japan 
(lin_zhu, tadashi_sasagawa, Kikuo_tachibana, yumiko_fukuzawa)@pasco.co.jp 
TS WG HI/2 
KEY WORDS: Airborne Digital Sensor, Triplet Image matching, Coarse-to-fine, Cross-correlation 
ABSTRACT: 
3D reconstruction from multiple images is one of the most attractive and challenging research fields in photogrammetry and 
computer vision. One of the practical applications of 3D reconstruction techniques is automated generation of Digital Surface 
Models (DSMs) from satellite or airborne images. However, it is not easy to obtain a reliable DSM through image matching mainly 
due to the complexity of urban environments and lack of adequate information for accurate matching. A recently developed 
commercial Airborne Digital Sensor ADS40 can provide plentiful information and detailed description of complex urban features. 
Thus, there is a great demand for development of corresponding new strategies to exploit the abundant information and special 
characteristics of the new sensor. This study introduces a hierarchical triplet image matching strategy for ADS40. 
1. INTRODUCTION 
DSMs/DTMs are required for topographic mapping, spatial 
data visualisation, ortho-image production and many other 
engineering and environmental applications. Automated DSM 
generation through  correlation-based stereo is still a 
challenging field due to the complexity of urban environments. 
The efforts to acquire reliable DSMs often suffer with a lot of 
problems such as occlusions, height discontinuities, repetitive 
patterns and ambiguous textures. 
An effective way to increase the performance of image 
matching is to increase the number of stereoscopic 
measurements, which relies on a large amount of data in order 
to achieve a high redundancy (Nonin, P., 2003). Handling such 
large amount of data can be cost effective if the whole process 
is highly automated, however this can hardly be realized using 
traditional aerial photography. 
Recently, a number of airborne digital CCD line sensors have 
been developed, including ADS40, TLS, DPA and HRSC. 
These digital push-broom sensors can provide plentiful 
information and detailed description of complex urban features 
and greatly enhance the efficiency of a photogrammetric 
processing. Thus, there is a great demand for development of 
corresponding strategies to exploit the abundant information 
and special characteristics of CCD line sensors, and 
subsequently improve the matching performance. 
In this study, a hierarchical coarse-to-fine matching strategy is 
proposed for airborne digital sensor ADS40. An algorithm for 
feature-based matching over multiple views leads to substantial 
reduction of problems caused by occlusions through the 
intersection of more than two image rays. Adequate utilization 
of ADS40 data, which has a wide radiometric range and a good 
signal to noise ratio, improves the ability of reducing the 
ambiguity at matching level. Also, the precise exterior 
orientation acquired from GPS/INS system enables to perform 
a geometric constrained matching and speed up the searching 
process. 
2. AIRBORNE DIGITAL SENSOR ADS40 
The Airborne Digital Sensor ADS40 is the first commercial 
airborne push-broom camera developed by Leica Geosystems. 
It incorporates latest GPS and INS technology for sensor 
orientation and new developments in sensor technology, and 
allows precise photogrammetric processing and multispectral 
image analysis and interpretation. 
  
     
     
   
DT SS 
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Figure 1. Three-line scanner 
The ADS40 sensor exploits a three-line-scanner principle. 
Long linear CCD arrays on the focal plane capture 
panchromatic images looking forward, nadir and backward 
from the aircraft (Figure 1). Besides, four CCD lines for 
multispectral bands (RGB and NIR) can provide high- 
resolution data both for achieving the redundancy for 
photogrammetric processing and multispectral image analysis. 
Figure 2 shows different viewing angles of panchromatic and 
multispectral images. A specially designed Position and 
Orientation System (POS) from Applanix ** Corporation 
collects data about the aircraft’s trajectory to ensure 2 
successful ground processing, and meets the goals of high 
image quality. Each panchromatic channel consists of two lines, 
each with 12000 pixels, staggered by 0.5 pixel, usually one 
staggered line for each panchromatic channel is used. 
   
International Arch 
TCI CALORE 16H 
N 
1 
Backward view 
All the panchrom 
radiometric resolut 
The characteristics 
A more detailed « 
sensor can be fou 
(2000) and Tempel 
The ADS40 sens 
flown strip, i.e. | 
several strips quasi 
in both geometry 
superior to that ii 
facilitates the subs 
rectification, auto 
DEM generation ar 
Focal length 
Pixel size 
Field of view aci 
Pixels per CCD 
Pixels per CCD 
Dynamic range 
Sterco angle (for 
Stereo angle (na 
Stereo angle (na 
Stereo angle (RC 
  
Table 1. 
3. 
The ADS40 sensoi 
geometric and radi 
recorded in three p: 
from different view 
geometric reconst 
importance to the re 
Although it is possi 
(panchromatic, RGI 
using only panchror 
À hierarchical coa 
triplet matching due 
Matching is perfor: 
  
	        
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