Structured image reconstruction for three-dimensional ghost imaging lidar

A structured image reconstruction method has been proposed to obtain high quality images in three-dimensional ghost imaging lidar. By considering the spatial structure relationship between recovered images of scene slices at different longitudinal distances, orthogonality constraint has been incorpo...

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Bibliographic Details
Published inOptics express Vol. 23; no. 11; pp. 14541 - 14551
Main Authors Yu, Hong, Li, Enrong, Gong, Wenlin, Han, Shensheng
Format Journal Article
LanguageEnglish
Published United States 01.06.2015
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Summary:A structured image reconstruction method has been proposed to obtain high quality images in three-dimensional ghost imaging lidar. By considering the spatial structure relationship between recovered images of scene slices at different longitudinal distances, orthogonality constraint has been incorporated to reconstruct the three-dimensional scenes in remote sensing. Numerical simulations have been performed to demonstrate that scene slices with various sparse ratios can be recovered more accurately by applying orthogonality constraint, and the enhancement is significant especially for ghost imaging with less measurements. A simulated three-dimensional city scene has been successfully reconstructed by using structured image reconstruction in three-dimensional ghost imaging lidar.
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content type line 23
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.23.014541