ASSESSMENT AND ROBUST RECONSTRUCTION OF LASER-RADAR SIGNALS

被引：8
|
作者：
ROTHE, H
GINTER, O
WOLDENGA, C
机构：
[1] The authors are in the Institute of Technology, Friedrich-Schiller-University Jena D-07743 Jena
来源：
OPTICS AND LASER TECHNOLOGY | 1993年 / 25卷 / 05期
关键词：
LASER RADAR; MULTIDIMENSIONAL SIGNAL PROCESSING; SPECKLE NOISE; PRINCIPAL COMPONENT ANALYSIS;
D O I：
10.1016/0030-3992(93)90016-9
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In direct-detection imaging, laser radar speckle noise, drop-outs, and outliers have to be considered in order to ensure high accuracy and reliability of measurement data. The most common approach for the stabilization of laser radar data is temporal averaging over several shots. This, however, is not in all cases the best method for the reconstruction of noisy image data. It is shown that principal component reconstruction can yield a remarkable improvement of accuracy and robustness of range data.
引用
收藏
页码：289 / 297
页数：9
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