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It is recommended that designers find a balance between watching a moving imaging display "clearly" and watching it "comfortably" for successful reception by the viewer.
We propose a method for increasing the resolution of an object and overcoming the diffraction limit of an optical system installed on top of a moving imaging system, such as an airborne platform or satellite.
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Oncological imaging in recent years has had a profound impact from the multiconcerted drive to move imaging into the quantitative realm and away from conventional qualitative or descriptive constraints.
In this way, we have turned the moving object imaging problem into the problem of imaging a stationary scene with phase corrupted data.
However, combining this mechanism with a spectral domain CPOCT system by moving the imaging tip solved the problem of degraded lateral resolution with increasing imaging depth.
As in many other imaging problems, sparsity-based approaches have recently been considered in the context of SAR moving object imaging as well.
The unique characteristics of this work include the following: (1) To the best of our knowledge, this work is the first to simultaneously solve camera array auto focusing and occluded moving object imaging problem.
In Section 2, the observation model used for SAR moving object imaging is presented.
We have presented a sparsity-driven framework for SAR moving target imaging.
A joint spatial reflectivity signal inversion method based on an over-complete dictionary of target velocities was applied to SAR moving targets imaging [10].
Spatially sampling a synthetic aperture is achieved by moving the imaging sensor by a distance ΔA between two consecutive pings as depicted in Figure1.
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