image information can ve separated from the gross
transmittance of the photograph. In addition, it is
possible to handle photography with a spatially vari-
ant power spectrum and achieve correlation signals
with good signal-to-noise ratio.
The potential capability of coherent optical
methods to handle a wide range of photographic data
processing problems has been demonstrated.?:6 The
direct application of these optical techniques to
photographic image processing has been facilitated
greatly by the advent of the laser with its greater
intensity, monochromaticity, and spatial coherence.
The laser also makes possible an alternative experi-
mental approach to image detection and image
matching by the synthesis and realization of complex
optical filters.” The use of the laser and coherent
optical data processing techniques has been investi-
gated with regard to their applicability to the cross
correlation of aerial photography for point transfer.
The results of this study indicated an rms image align-
ment precision of the order of one micron. To
achieve this level of performance it is necessary to
compensate for perspective image distortion caused
by terrain slope. The feasibility of incorporating
optical correction for these effects in a coherent
optical correlator was demonstrated. In general,
coherent optical data processing techniques were
shown to offer a great potential for automatic image
matching and automatic stereocompilation.
Within the present state of the art, whether the
image matching is done by electronic scanning and
correlation or by conventional two-dimensional opti-
cal correlation, the automatic stereocompilation is
still carried out point-by-point sequentially on the
photograph. The electronic scanner and correlator
must perforce operate sequentially point by point.
However, it is possible to design optical correlators
which have the capability to process simultaneously
and independently a large number of image points
and thereby offer a potential means for greatly in-
creasing the speed of the automatic stereocompilation
process.
BASIC CORRELATOR IMPLEMENTATION
The image correlation operation is defined mathe-
matically by the equation
rji? (Ax, Ay) 7
LIM 1
if t; GGy) tj (x Ax, y + Ay) dxdy (1)
A
60
where
ri? (Ax, Ay) ^ spatial two-dimensional cross-
correlation function of the im-
ages t, and t»
A = image area
X and y = photocoordinates
t, (X,y) & t,(x,y) = imagery being compared
t(xtAx,y t Ay) - image t (x,y) displaced in x
and y an amount Ax and Ay
In practice, the infinite area integration implied by
the limiting process in equation (1) is always replaced
by finite averaging. Although finite averaging intro-
duces an uncertainty in the measurement, the uncer-
tainty can be controlled by maintaining the product
of the image area and image spatial frequency band-
width (space-bandwidth product) large. The mini-
mum image area being correlated is limited by this
space-band width criterion.
The fundamental electronic and optical imple-
mentations of equation (1) are shown in Figures 1
and 2. In the electronic correlator of Figure 1, the
multiplication and integration of equation (1) are
carried out using the temporal video signal representa-
tion of the images t, and t,. In the optical correlator
of Figure 2, the multiplication is carried out in the
plane of the second stereo photograph as the product
of the light amplitude distributions representing t,
and t,, and the integration is performed by the final
transform or integrating lens. For both implementa-
tions, the output signal for a given Ax and Ay dis-
placement is a single point on the surface representing
the two-dimensional correlation function shown in
Figure 3. Complete image match and alignment is
achieved when the two-dimensional correlation signal
is a maximum and the alignment error signal is nulled.
Scan Generator
Deflection Coil
Distortion Error
Control Signals
X and Y Scan
Signals
Feedback Signals Image Error
Signals
Figure 1 Basic Electronic Correlation System
KRULIKOSKI, KOWALSKI, AND WHITEHEAD
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