Angle-Doppler Resolved Reflective Tomography Laser Imaging Radar

Xiaofeng, 金晓峰 Jin; Yi, 严毅 Yan; Jianfeng, 孙剑锋 Sun; Yapeng, 吴亚鹏 Wu; Yu, 周煜 Zhou; Liren, 刘立人 Liu

doi:10.3788/aos201232.0828001

“…Lidar reflective tomography (LRT) system is a system suitable for long-distance target detection and identification [1][2][3]. As aerospace technology thrives, the exploration of aerial and space targets has become a hot topic.…”

Section: Introductionmentioning

confidence: 99%

Hybrid regularization method for LRT image reconstruction under incomplete projections

Guo,

Zhihan,

Wang

et al. 2024

Preprint

0

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Lidar reflective tomography (LRT) system is able to achieve long-distance target detection and collect laser projection data for target reconstruction. In target detection with laser, the projection data is often incomplete or missing, where the traditional reconstruction algorithms are no longer effective. Therefore, this paper applies the regularization model to LRT image reconstruction and proposes a hybrid regularization method for higher LRT imaging performance, to prevent the over-fitting problem of the model and improve the speed and stability of the proposed method. Meanwhile, the edge and the structural characteristics of the reconstructed target with LRT is better enhanced by using the proposed hybrid regularization method. By conducting the LRT outfield experiment and using the collected LRT projection data, the validity of the proposed method in incomplete projection reconstruction is well proved.

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“…The lidar reflective tomography (LRT) system is a system suitable for long-distance target detection and identification [1][2][3]. As aerospace technology thrives, the exploration of aerial and space targets has become a hot topic.…”

Section: Introductionmentioning

confidence: 99%

Hybrid regularization method for LRT image reconstruction under incomplete projections

Guo,

Zhihan,

Jiang

et al. 2024

Preprint

0

View full text Add to dashboard Cite

Lidar reflective tomography (LRT) system is able to achieve long-distance target detection and collect laser projection data for target reconstruction. In target detection with laser, the projection data is often incomplete or missing, where the traditional reconstruction algorithms are no longer effective. Therefore, this paper applies the regularization model to LRT image reconstruction and proposes a hybrid regularization method for higher LRT imaging performance, to prevent the over-fitting problem of the model and improve the speed and stability of the proposed method. Meanwhile, the edge and the structural characteristics of the reconstructed target with LRT is better enhanced by using the proposed hybrid regularization method. By conducting the LRT outfield experiment and using the collected LRT projection data, the validity of the proposed method in incomplete projection reconstruction is well proved.

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Frame frequency prediction for Risley-prism-based imaging laser radar

Lü

¹

,

Zhou

²

,

Hei

³

et al. 2014

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A dual-wedge scanner has potential applications in laser imaging radar. To realize fast scanning imaging without a blind region, the rotation rates of the wedges have to be controlled to perform beam scanning along appropriate track paths. The first-order paraxial approximation method is employed to investigate the 2D scan patterns and path density for different angular frequency ratios of the wedges rotating steadily in the same and opposite directions. The frame rate of no-blind-region scanning imaging is estimated in terms of the imaging coverage requirement. The internal relations between the rotation rates, the instantaneous field of view (IFOV), and the imaging velocity are revealed. The results show that the spiral scanning trace, resulting from co-rotating wedges, is dense in the center and sparse at the edge of the scanning field. The reverse results can be obtained for the rosette scanning trace, resulting from counter-rotating wedges. The denser the scanning trace is, the longer the scan period is. The faster the wedges rotate and the wider the IFOV is, the higher the frame rate is. When the ratio of the width of IFOV to the angular radius of the scanning field is 0.15, the frame rate of no-blind-region spiral scanning imaging can be up to 18 fps for wedge rotation rate of 12000 r/min, and that for rosette scanning imaging can be up to 20 fps.

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Angle-Doppler Resolved Reflective Tomography Laser Imaging Radar

Cited by 3 publications

References 0 publications

Hybrid regularization method for LRT image reconstruction under incomplete projections

Hybrid regularization method for LRT image reconstruction under incomplete projections

Hybrid regularization method for LRT image reconstruction under incomplete projections

Frame frequency prediction for Risley-prism-based imaging laser radar

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