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    <responseDate>2026-10-14T15:21:29Z</responseDate>
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    <identifier>10.57760/sciencedb.02197</identifier>
    <datestamp>2022-08-16T22:21:04Z</datestamp>
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  <dc:date>2022-08-16</dc:date>
  <dc:title>Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.02197</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Ghost imaging LIDAR&amp;nbsp;is a new system of gaze imaging radar with high detection sensitivity, super-resolution and better anti-interference performance, but the relative motion between the radar system and the target will make the imaging degenerate. This paper proposes a single-target localization in the field of view by weighting the correlation intensity of rough target images. In a simple background environment, the absolute coordinates of the low-velocity small-size target in the field of view can be obtained. And the reference arm speckles will be compensated in the opposite direction&amp;nbsp;by the translation according to the trajectory obtained by the positioning. An accurate image will be obtained by superimposing many rough images eventually. The proposed correlation intensity weighted positioning,&amp;nbsp;tracking and imaging method has been verified by simulation to be able to locate and image targets in the field of view well.</dc:description>
  <dc:subject>ghost imaging; rough image; intensity weighting; speckle translation</dc:subject>
  <dc:creator>Li Yuliang</dc:creator>
  <dc:creator>Wang Chenglong</dc:creator>
  <dc:creator>Chen Mingliang</dc:creator>
  <dc:creator>Han Shensheng</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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