Ship Azimuthal Speed Estimation Method Based on Local Region Doppler Centroid in SAR Images

Xiangfei WEI; Xiaoqing WANG; Jinsong CHONG

doi:10.11999/JEIT170991

Volume 40 Issue 9

Aug. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(9): 2242-2249

Xiangfei WEI, Xiaoqing WANG, Jinsong CHONG. Ship Azimuthal Speed Estimation Method Based on Local Region Doppler Centroid in SAR Images[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2242-2249. doi: 10.11999/JEIT170991

Citation:

Xiangfei WEI, Xiaoqing WANG, Jinsong CHONG. Ship Azimuthal Speed Estimation Method Based on Local Region Doppler Centroid in SAR Images[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2242-2249. doi: 10.11999/JEIT170991

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Ship Azimuthal Speed Estimation Method Based on Local Region Doppler Centroid in SAR Images

doi: 10.11999/JEIT170991

Xiangfei WEI^{1, 2, 3},
Xiaoqing WANG⁴,
Jinsong CHONG^{1, 2
,
,}

1.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
2.
National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China
3.
University of Chinese Academy of Sciences, Beijing 100049, China
4.
Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China

Received Date: 2017-10-23
Rev Recd Date: 2018-06-08

Available Online: 2018-07-12

Publish Date: 2018-09-01

Abstract

Abstract

To deal with the problem that most of the existing ship speed estimation algorithms can only estimate the slant range speeds of ships, a ship azimuthal speed estimation method based on local region Doppler centroid for Synthetic Aperture Radar (SAR) images is proposed. Firstly, the variation of Doppler centroid of moving target in local region of SAR image is analyzed and the theoretical formula for estimating the azimuthal speed using the slope of Doppler centroid variation is derived. Then, based on the probability density function of azimuthal power spectrum, an estimation method for the slope of Doppler centroid variation using the maximum likelihood estimation algorithm is presented. Moreover, the estimation accuracy and the applicability of the proposed method are also analyzed. Finally, the proposed method is implemented on simulated and filed data and the estimation results are compared with those obtained by directly calculating the frequency modulation rate. The results show that the proposed method has high estimation accuracy, which verifies the effectiveness of the proposed method.
- SAR image,
- Ship speed estimation,
- Local region,
- Doppler centroid

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References(20)

References

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