A 3D laser imaging test facility was developed and established using a module design approach. The test facility
provides a complete, controllable and repeatable experiment environment, and supports research and simulation of 3Dimaging
LiDAR system. The test facility consists of five major parts: an open 3D-imaging LiDAR, a target simulator, a
far-field emulation, a background light environment simulation system, and a large FOV stereo vision system. The test
facility has been set three working modes: unit module analysis mode, accuracy and imaging mechanism of LiDAR
system mode, moving target detecting and environmental modeling mode. The open test facility continually evolves to
meet the expanding role of 3D laser imaging applications.
Because of the influence of speckle noise, it is difficult to extract the edge of the targets and locate the airport
automatically in the low SNR real aperture radar imagery by the traditional ways. The paper presents a kind of
algorithms that could improve the dependability of the image matching and locate the airport target in the real aperture
radar images. At first, the original real aperture radar imagery is enhanced on fuzzy property domain, which makes the
airport target more prominent. Then, the airport runway is detected using the Radon transform, and the end points and
width of the airport runway are identified using the correlative knowledge of the airport. At last, the airport runway
extracted is processed and the airport target is located with the wavelet transform and the least square image matching.
The experiment shows that the method could detect and locate the airport target well.
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