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There will be a problem with the illuminated object with light attenuation. It may have a huge impact on calculations precision. If the output will be not accurate enough without including attenuation corrections, then it needs to be calculated and implemented into the algorithm.
Possible ways to solve the problem:
just count the attenuation values with the formula: I=Io*e^(−μx), where
I and Io are the final and initial intensity respectively,
x is the distance (in km),
μ is the attenuation coefficient, expressed in km-1
and subtract the result from the input images as the algorithm starts calculations,
second way to solve the problem is by adding a low-pass filter when the calculation is started. It will delete small differences in the input values as the attenuation is causing these ones.
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There will be a problem with the illuminated object with light attenuation. It may have a huge impact on calculations precision. If the output will be not accurate enough without including attenuation corrections, then it needs to be calculated and implemented into the algorithm.
Possible ways to solve the problem:
I=Io*e^(−μx), whereI and Io are the final and initial intensity respectively,
x is the distance (in km),
μ is the attenuation coefficient, expressed in km-1
and subtract the result from the input images as the algorithm starts calculations,
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