Open AccessRestoration of longitudinal laser tomography target image from inhomogeneous medium degradation under common conditions
Author(s) -
Wei Yi,
Ping Wang,
Meicheng Fu,
Jichun Tan,
Jun Zhu,
Xiujian Li
Publication year - 2017
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.25.015687
Subject(s) - optics , calibration , image restoration , materials science , laser , lidar , economic shortage , reflectivity , degradation (telecommunications) , remote sensing , image (mathematics) , computer science , image processing , physics , geology , artificial intelligence , telecommunications , linguistics , philosophy , quantum mechanics , government (linguistics)
In order to overcome the shortages of the target image restoration method for longitudinal laser tomography using self-calibration, a more general restoration method through backscattering medium images associated with prior parameters is developed for common conditions. The system parameters are extracted from pre-calibration, and the LIDAR ratio is estimated according to the medium types. Assisted by these prior parameters, the degradation caused by inhomogeneous turbid media can be established with the backscattering medium images, which can further be used for removal of the interferences of turbid media. The results of simulations and experiments demonstrate that the proposed image restoration method can effectively eliminate the inhomogeneous interferences of turbid media and achieve exactly the reflectivity distribution of targets behind inhomogeneous turbid media. Furthermore, the restoration method can work beyond the limitation of the previous method that only works well under the conditions of localized turbid attenuations and some types of targets with fairly uniform reflectivity distributions.