Literature DB >> 16092352

Polarimetric laser radar target classification.

Cornell S L Chun1, Firooz A Sadjadi.   

Abstract

Imaging laser radar (ladar) systems have been developed for automatic target identification in surveillance systems. Ladar uses the range value at the target pixels to estimate the target's 3-D shape and identify the target. For targets in clutter and partially hidden targets, there are ambiguities in determining which pixels are on target that lead to uncertainties in determining the target's 3-D shape. An improvement is to use the polarization components of the reflected light. We describe the operation and preliminary evaluation of a polarization diverse imaging ladar system. Using a combination of intensity, range, and degree of polarization, we are better able to identify and distinguish the target from other objects of the same class.

Mesh:

Year:  2005        PMID: 16092352     DOI: 10.1364/ol.30.001806

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  1 in total

1.  Pulse noise-hidden image reconstruction and visualization via stochastic resonance.

Authors:  Qibing Sun; Hongjun Liu; Nan Huang; Zhaolu Wang; Jing Han
Journal:  Sci Rep       Date:  2016-11-08       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.