the 
10to- 
d in 
wide 
h to 
n of 
lator 
of y 
with 
The 
ence 
The 
>s is 
eter 
emi- 
gree 
rom 
erial 
The 
rent 
red 
rom 
ting 
nga 
oto- 
put 
rect 
9to- 
  
AD 
sx o ? 
Figure 9 Aerial Photograph Used in 
Testing Profiling Correlator 
SUMMARY 
The coherent optical parallel processor described 
above represents a step towards increasing the speed 
of the stereocompilation process. The simultaneous 
display of x parallax over an entire strip of the 
photography permits easy interpolation and extrapo- 
lation over small image areas which do not give a 
good correlation signal due to terrain roughness or 
extreme slope or perspective distortion. Since the 
System calibration is determined by the focal lengths 
and wavelength of the illuminating optics, it is not 
subject to drift or random errors. Furthermore, it 
does not require skilled experience in stereo percep- 
tion. This particular implementation of an optical 
correlator demonstrates the inherent power of optical 
techniques for photogrammetric data reduction. 
  
i 
River Mountain 
Valley 
  
2. 
10. 
11. 
13. 
16. 
REFERENCES 
1. 
Manual of Photogrammetry, 31d ed., II, pp. 776-802. 
Leslie S. G. Kovasznay and Ali Arman, ‘Optical Autocorrelation 
Measurements of Two-Dimensional Random Patterns,” Review of 
Scientific Instruments, 28, No. 10 (October 1957) pp. 793-797. 
. Dan McLachlan, Jr., “The Role of Optics in Applying Correlation 
Functions to Pattern Recognition,” JOSA, 52, No. 4 (April 1962) 
pp. 454-459. 
. L. I. Goldfischer and R. Vesper, Final Technical Report on Auto- 
matic Stereo Perception of Aerial Photography by Means of Opti- 
cal Correlation, Contract No. DA-44-009ENG-4966, December 
1962. 
. Edward L. O'Neill, "Spatial Filtering in Optics," IRE Transactions 
on Information Theory, IT-2, 2, June 1956, pp. 56-65. 
. L. J. Cutrona, E. N. Leith, C. J. Palermo and L. J. Porcello, “Opti- 
cal Data Processing and Filtering Systems,” IRE Transactions on 
Information Theory (June 1960) pp. 386-400. 
. A. Vander Lugt, “Signal Detection by Complex Spatial Filtering,” 
IEEE Transactions on Information Theory (April 1964) pp. 
139-145. 
. D. C. Kowalski, N. K. Sheridon, S. J. Krulikoski, and F. Whitehead, 
Optical Point Transfer Investigation, Final Technical Report, 
Contract AF 30(602)-4220, June 1967. 
. Y. W. Lee, Statistical Theory of Communications, John Wiley & 
Sons, New York, (1960) Chap. 2. 
D. Gabor, “A New Microscope Principle,” Nature, No. 4098 (May 
1948). 
D. Gabor, “Microscopy by Reconstructed Wavefronts,”” Proceed- 
ings of Royal Physical Society, 197, Sec. A, (1949), pp. 454-487. 
. D. Gabor, “Microscopy by Reconstructed Wavefronts, II,” Pro- 
ceedings of Royal Physical Society, 64, Sec. B, Pt. 6, No. 378B, 
(June 1951) pp. 449-469. 
E. N. Leith and J. Upatnieks, “Reconstructed Wavefronts and 
Communication Theory,” JOSA, 52, No. 10, (October 1962) pp. 
1123-1130. 
. E. N. Leith and J. Upatnieks, ‘Wavefront Reconstruction with 
Continuous-Tone Objects,” JOSA, 53, (December 1963) pp. 
1377-1381. 
. E. N. Leith and J. Upatnieks, “Wavefront Reconstruction With 
Diffused Illumination and Three-Dimensional Objects,” JOSA, 54, 
No. 11, (November 1964) pp. 1295-1301. 
M. I. Skolnik, Introduction to Radar Systems, Chap. 9, McGraw- 
Hill Book Co., Inc., New York (1962). 
  
Hilltop 
Figure 10 Instant Profiles—Aerial Photography 
PARALLEL PROCESSING