Paper Info
Title
Object extraction from laser radar imagery
Abstract
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.
Year
DOI
Venue
1991
10.1016/0031-3203(91)90024-Y
Pattern Recognition
Keywords
Field
DocType
fieldable laser radar transceiver,object extraction,laser radar imagery,background removal,range normalization,laser radar
Coordinate system,Radar,Histogram,Computer vision,Pattern recognition,Filter (signal processing),Image processing,Lidar,Smoothing,Artificial intelligence,Distortion,Mathematics
Journal
Volume
Issue
ISSN
24
6
Pattern Recognition
Citations 
PageRank 
References 
2
0.52
2
Authors
2
Name
Order
Citations
PageRank
Sei-Wang Chen131129.23
Anil Jain2335073334.84