I. Interactive Mode. | ||||||||||||||||
The initial image | ||||||||||||||||
Choice of a fragment of the image (City quarters, industrial and industrial objects). a). It is allocated with the operator with the help of the mouse. b). The full image (without participation of the operator). |
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II. Physical Principles.
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b). Our detection model (object = optical test charts). | ||||||||||||||||
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T - test chart period, V = T/2 [1/mm] - spatial frequency. The Detection Probability is proportional to a signal-to-noise ratio: P ~ <O S>/N, where <> mean operator. | ||||||||||||||||
Sequence of detection stages: | ||||||||||||||||
Stage I. Measurement of the MTF transfer function and OES noise N. | ||||||||||||||||
Stage II. Image synthesis of test charts. | ||||||||||||||||
Stage III. Calculation of Detection Probability P. | ||||||||||||||||
Stage IV. Decision making. | ||||||||||||||||
Decision making - Iterative procedure:
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c). Design formula of Spatial Resolution L. | ||||||||||||||||
L = D/(2×f×V×1000×cos(u)) [m], where V - Resolution of focal plane (CCD plane) , f - focal distance of telescope, u - viewing angle, D - slant distance: D = [h² + 2×R×h + R²×cos²(u)]½ R×cos(u), R - radius of the Earth, h - photographic altitude. | ||||||||||||||||
III. Measurement of the MTF and OES noise. | ||||||||||||||||
During the analysis of the image, the PP in an automatic mode recognition the of knife-edges image B(x,y). The border between light and dark objects refers to as knife-edge. Distribution of intensity U (x) in a direction perpendicular knife-edge refers to as a boundary curve. | ||||||||||||||||
Transfer function OES is calculated as Fourier transformation from a derivative boundary curve dU(x)/dx: | ||||||||||||||||
MTF (v) = F [dU(x)/dx], MTF - Modulation Transfer Function, v - spatial frequency [1/mm], F - Fourier transformation operator. | ||||||||||||||||
The example of Modulation Transfer Function is shown below: | ||||||||||||||||
Simultaneously with calculation MTF, the PP measures noise level N. | ||||||||||||||||
IV. Visual expert estimation. | ||||||||||||||||
The visual expert estimation will be carried out at an initial stage of space photography and serves for correction of detection model: | ||||||||||||||||
P ~ <O S 3.2×Cp>/N,
where Cp - Compensation Factor, which is determined during an expert estimation. | ||||||||||||||||
The Compensation Factor is determined in three stages. Stage 1. At the first stage the typical fragment with the help of the PP is measured. Variable parameter during measurements is the Compensation Factor, which is set by the operator in the initial data table in limits from 0.2 up to 2.0 with step 0.1 (or 0.2). As a result of measurements to be under construction functional dependence of resolution V [1/mm] from Compensation Factor Cp. The example of such dependence is shown on the diagram below. | ||||||||||||||||
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Stage 2. At the second stage, with the help of the PP the test-object as nine groups of test charts for four directions is synthesized. Entrance parameters for synthesis are MTF and noise level N. The example of such test object is shown below. | ||||||||||||||||
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Stage 3.
At the third stage, the test - object is showed on the screen of the monitor to experts.
Experts estimate limiting resolution Vp[1/mm] independently from each other.
Results of visual experiment are averaged. Then with the help of the functional dependence Vp = f(Cp)
submitted above, the
Compensation Factor Cp is determined. This factor to be entered by the operator into the initial data table
and is used in all subsequent measurements. Further, the visual expert estimation is carried out at an orbit change, in case of CCD change or replacement of a telescope. | ||||||||||||||||
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