OBJECT EXTRACTION FROM LASER-RADAR IMAGERY

被引：4
作者：
CHEN, SW
JAIN, AK
机构：
[1] NATL TAIWAN UNIV,DEPT INFORMAT & COMP EDUC,TAIPEI,TAIWAN
[2] MICHIGAN STATE UNIV,DEPT COMP SCI,E LANSING,MI 48824
来源：
PATTERN RECOGNITION | 1991年 / 24卷 / 06期
关键词：
FIELDABLE LASER RADAR TRANSCEIVER; RANGE NORMALIZATION; BACKGROUND REMOVAL; OBJECT EXTRACTION;
D O I：
10.1016/0031-3203(91)90024-Y
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A procedure for extracting objects present in imagery taken by the fieldable laser radar transceiver (FLRT) is reported. The laser radar imagery of a scene is composed of a registered pair of range and intensity images. Range images are first normalized in order to recover shape distortion due to the inherent effect of the ellipse-like coordinate system of the FLRT sensor. The normalized images are then smoothed using a median operator followed by a histogram-based filter to further remove outliers of noise. Afterwards, objects can be extracted from the images by removing the backgrounds of scenes. Extracted objects are then separated according to their range values into individual objects. Finally, by referring to the registered intensity images, some non-target objects can be discovered and be removed a priori.
引用
收藏
页码：587 / 600
页数：14
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