Object extraction from laser radar imagery

Sei Wang Chen; Anil K. Jain

doi:10.1016/0031-3203(91)90024-Y

Object extraction from laser radar imagery

Sei Wang Chen^*, Anil K. Jain

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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.

Original language	English
Pages (from-to)	587-600
Number of pages	14
Journal	Pattern Recognition
Volume	24
Issue number	6
DOIs	https://doi.org/10.1016/0031-3203(91)90024-Y
Publication status	Published - 1991

Keywords

Background removal
Fieldable laser radar transceiver
Object extraction
Range normalization

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/0031-3203(91)90024-Y

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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.",

keywords = "Background removal, Fieldable laser radar transceiver, Object extraction, Range normalization",

author = "Chen, {Sei Wang} and Jain, {Anil K.}",

year = "1991",

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language = "English",

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pages = "587--600",

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TY - JOUR

T1 - Object extraction from laser radar imagery

AU - Chen, Sei Wang

AU - Jain, Anil K.

PY - 1991

Y1 - 1991

N2 - 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.

AB - 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.

KW - Background removal

KW - Fieldable laser radar transceiver

KW - Object extraction

KW - Range normalization

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U2 - 10.1016/0031-3203(91)90024-Y

DO - 10.1016/0031-3203(91)90024-Y

M3 - Article

AN - SCOPUS:0026010702

SN - 0031-3203

VL - 24

SP - 587

EP - 600

JO - Pattern Recognition

JF - Pattern Recognition

IS - 6

ER -

Object extraction from laser radar imagery

Abstract

Keywords

ASJC Scopus subject areas

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