Full text: Technical Commission III (B3)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B3, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
3D CAPABILITIES OF PLEIADES SATELLITE 
M. Bernard, D. Decluseau, L.Gabet, P. Nonin, 
ASTRIUM GEO-Information Services — (Marc.Bernard, David.Decluseau, Laurent.Gabet, 
Philippe.Nonin)@spotimage. fr 
KEY WORDS: Photogrammetry, Automation, Matching, DEM/DTM, Satellite, Accuracy, Stereoscopic 
ABSTRACT: 
End of 2011 a new optical satellite, called Pléiades, was launched by the French space agency (CNES). It provides 20kmx20km 
images at 0.5 meters. This agile acquisition system is able to relocate very rapidly and scan the earth in any direction. The agility of 
the system offers the ability to acquire multi viewing angle images of the same area during the same orbit. This ability to capture, 
from a single stereoscopic pair, to a sequence of 25 images, allows enhancing the quality and the completeness of automatically 
extracted 3D maps. 
The aim of the study is to validate and quantify the capacity of the Pléiades system to perform 3D mapping. The analysis explores 
the advantages in terms of quality and automatism to use more than 2 stereoscopic images. 
In the last 10 years, automatic 3D processing of digital images became more and more popular and efficient. Thanks to aerial images 
with very large overlap and very high resolution satellite images, new methodologies and algorithms have been implemented to 
improve the quality and accuracy of automatic 3D processing. We propose to experiment the same type of approaches using Pléiades 
images to produce digital elevation models (DEM). A focus is made on analysing the 3D processing using video like (multi viewing) 
acquisitions. Different reference sites with very accurate 3D control points are used to quantify the quality of the Pléiades DEM. 
Different acquisition modes are explored from a single stereo pair to a sequence of 17 images. 
1. INTRODUCTION 
The agility of the new generation of earth observation satellites 
aims at increasing the acquisition capacity, allowing nearby 
areas to be acquired during the same pass. A side effect is the 
ability to acquire multiple views from the same area, with 
different incidence angles. Using multiple views for 3D 
automatic extraction is a common practice in the airborne 
survey community. The main motivations are the improvement 
of the robustness and accuracy, due to the redundancy of the 
measurements, and the removal of any hidden part in urban 
area, due to the multiplicity of the viewing angles. 
Based on these considerations, the applicability of airborne 
multiview techniques to agile satellites imagery is a worthwhile 
question. This paper analyses the performances of this approach 
with Pleiades imagery. 
2. BACKGROUND 
The automatic matching of images stereo pairs has been widely 
used for more than thirty years in the mapping industry for the 
production of digital elevation models (DEM). For airborne 
frame cameras, the usual acquisition scheme is based on 60% 
overlaps in the flight direction with a minimal overlap between 
adjacent tracks. This scheme insures that every point on the 
ground is seen from, at least, two different points of view, 
which seems to be sufficient for an open landscape, with 
moderate slopes and a manual digitizing process. In an urban 
environment, more points of view are required to ensure the 
completeness of the elevation model, all around the highest 
buildings. Moreover, the redundancy of the stereo 
measurements from multiple points of view improves the 
robustness of an automatic images matching process. In any 
cases, the accuracy benefits from the averaging of the multiple 
measurements. Nowadays, acquiring up to 80% overlap images 
sequences (in both directions) is a common practice among 
airborne survey companies. In the case of airborne push-broom 
cameras like the Leica ADS40/80, a side overlap above 50% 
provides six well distributed points of views for each point on 
the ground. 
In the computer vision community, several projects aim at 
producing dense 3D city models from thousands of images 
found on the Web, which means tens or hundreds of views for a 
single point. 
Up to now, satellite imagery has been a scarce resource and 
most of space based elevation data have been extracted through 
single stereoscopic measurements. Nevertheless, the ASTER 
GDEM and SPOT Ref3D programs have achieved extensive 3D 
coverages of the earth surface at a nominal 30meter resolution 
with forward/backward stereoscopic acquisition. Locally, in 
mountainous areas, the rendering of the Ref3D DEM has been 
improved, thanks to the triple viewing mode of SPOTS with its 
two instruments HRS and HRG. 
The new generation of sub-metric earth observation satellite is 
able to provide more than two images of the same area in a 
single pass. From our experience with airborne imagery, it 
should improve greatly the quality and the completeness of a 
digital elevation model, especially in urban area. On the other 
hand, satellite imagery is still expensive, and the benefit of 
multi-view rendering has to be balanced with the extra cost of 
the acquisition. 
One should also notice that, during a one pass acquisition, the 
satellite is bound to its orbit, which is a single one dimensional 
path. This is not quite similar to a multi-tracks airborne 
acquisition with viewing angles evenly distributed around each 
point on the ground. However, this situation can be partially 
recreated by using several single-pass stereo pairs acquired from 
different orbits. Here again, cost matters. 
3. THE STEREO DILEMMA 
The best choice of viewing angles for stereoscopic measurement 
is always a matter of compromise: A wide stereo angle provides 
a good geometric accuracy, but the matching of two images 
points may be difficult, or even impossible if the two points of 
    
  
   
     
     
   
  
    
  
  
   
  
  
    
    
   
    
    
   
    
    
   
    
    
   
   
   
    
    
   
   
   
   
   
    
  
    
    
    
   
   
   
   
   
   
   
    
  
    
   
   
   
  
  
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