Full text: Photogrammetric and remote sensing systems for data processing and analysis

  
Both systems require high optical and mechanical 
stability, which has to be tested and calibrated 
periodically. 
Using réseau technique numerical orientation of image 
frames can be obtained with high precision and low 
mechanical effort. The matrix sensors are positioned 
in the manner that object information and at least one 
grid of a réseau (glass plate containing raster-like 
distributed targets) are projected. 
To obtain the total image, a numerical perspective 
retransformation of each image frame into the 
corresponding réseau grid is performed. By that way 
not only the spatial position of the sensor is 
determined, but also the orientation of the local 
frame coordinate system is refreshed at any time 
the sensor was moved. 
This technique can be used for sequential image 
Scan as well as simultanious recording of a total 
image realized in A/D - conversion of analogous 
photographs and digital photogrammetric cameras 
[WESTER-EBBINGHAUS 1984]. 
Based on this principle a réseau-scanner (Rolleimetric R51, 
Fig. 1) and a digital semi-metric camera (Rolleimetric RSC, 
Fig. 2) are developed by Rollei Fototechnic, Braunschweig, 
in cooperation with the IPT. 
After a survey of system concepts based on réseau-scanning 
techniques, hard- and software components of the instruments 
are discussed. First results of photogrammetric evaluations 
are presented. 
2. System concepts of réseau-scanning instruments 
Fig. 3 shows the concept of an A/D-conversion system. CCD- 
matrix sensor and optical system are moving parallel to 
a réseau plate (scan-réseau), which is in contact with the 
photograph. The sensor is orientated in the way that at 
least one réseau grid is totally projected. Réseau targets 
are located automatically and fitted to their nominal position 
in the réseau coordinate system. The resulting trans- 
formation parameter set is stored with the image 
frame or used for rectification and composing of a total 
digital image mosaic. 
Variation of projection scale leads to different pixel 
sizes in the image plane without change of signal-to-noise 
ratio. 
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