A surface matching approach to target recognition from forward-looking laser radar imagery

Li Wang; Jianfeng Sun; Qi Wang

doi:10.1016/j.ijleo.2010.07.002

A surface matching approach to target recognition from forward-looking laser radar imagery

Li Wang^*, Jianfeng Sun, Qi Wang

^*Corresponding author for this work

Harbin Institute of Technology

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

4 Citations (Scopus)

Abstract

A modified spin-image surface matching system for out-of-plane rotation-invariant recognition in forward-looking laser radar (Ladar) range imagery has been described in the literature. In this paper, we experimentally address the relation between the training-set size used in the new method and recognition rate and present a method for selecting the training sample images. The modified system has attractive properties that include: rotated invariance, simplified training-set selection, predigestion from the 3-D range image to a set of 2-D images, tolerance for a significant amount of noise, no feature extraction. Each of these properties is investigated in the paper.

Original language	English
Pages (from-to)	1014-1018
Number of pages	5
Journal	Optik
Volume	122
Issue number	11
DOIs	https://doi.org/10.1016/j.ijleo.2010.07.002
Publication status	Published - Jun 2011
Externally published	Yes

Keywords

Ladar
Range imagery
Rotated invariance
Target recognition
Training-set

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10.1016/j.ijleo.2010.07.002

Cite this

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abstract = "A modified spin-image surface matching system for out-of-plane rotation-invariant recognition in forward-looking laser radar (Ladar) range imagery has been described in the literature. In this paper, we experimentally address the relation between the training-set size used in the new method and recognition rate and present a method for selecting the training sample images. The modified system has attractive properties that include: rotated invariance, simplified training-set selection, predigestion from the 3-D range image to a set of 2-D images, tolerance for a significant amount of noise, no feature extraction. Each of these properties is investigated in the paper.",

keywords = "Ladar, Range imagery, Rotated invariance, Target recognition, Training-set",

author = "Li Wang and Jianfeng Sun and Qi Wang",

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AU - Wang, Li

AU - Sun, Jianfeng

AU - Wang, Qi

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AB - A modified spin-image surface matching system for out-of-plane rotation-invariant recognition in forward-looking laser radar (Ladar) range imagery has been described in the literature. In this paper, we experimentally address the relation between the training-set size used in the new method and recognition rate and present a method for selecting the training sample images. The modified system has attractive properties that include: rotated invariance, simplified training-set selection, predigestion from the 3-D range image to a set of 2-D images, tolerance for a significant amount of noise, no feature extraction. Each of these properties is investigated in the paper.

KW - Ladar

KW - Range imagery

KW - Rotated invariance

KW - Target recognition

KW - Training-set

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VL - 122

SP - 1014

EP - 1018

JO - Optik

JF - Optik

IS - 11

ER -

A surface matching approach to target recognition from forward-looking laser radar imagery

Abstract

Keywords

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