Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection

Zhangfeng Li; Guoqiang Zhao; Shiyong Li; Houjun Sun; Ran Tao; Xiaojing Huang; Y. Jay Guo

doi:10.1109/LGRS.2016.2594299

Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection

Zhangfeng Li, Guoqiang Zhao^*, Shiyong Li, Houjun Sun, Ran Tao, Xiaojing Huang, Y. Jay Guo

^*Corresponding author for this work

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

18 Citations (Scopus)

Abstract

A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.

Original language	English
Article number	7542497
Pages (from-to)	1512-1516
Number of pages	5
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	13
Issue number	10
DOIs	https://doi.org/10.1109/LGRS.2016.2594299
Publication status	Published - Oct 2016

Keywords

Image edge detection
micro-Doppler
range-Doppler image
rotation target
temporal differencing

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10.1109/LGRS.2016.2594299

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title = "Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection",

abstract = "A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.",

keywords = "Image edge detection, micro-Doppler, range-Doppler image, rotation target, temporal differencing",

author = "Zhangfeng Li and Guoqiang Zhao and Shiyong Li and Houjun Sun and Ran Tao and Xiaojing Huang and Guo, {Y. Jay}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2016",

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T1 - Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection

AU - Li, Zhangfeng

AU - Zhao, Guoqiang

AU - Li, Shiyong

AU - Sun, Houjun

AU - Tao, Ran

AU - Huang, Xiaojing

AU - Guo, Y. Jay

PY - 2016/10

Y1 - 2016/10

N2 - A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.

AB - A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.

KW - Image edge detection

KW - micro-Doppler

KW - range-Doppler image

KW - rotation target

KW - temporal differencing

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SN - 1545-598X

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SP - 1512

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JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

IS - 10

M1 - 7542497

ER -

Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection

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