Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar

Ryosuke Kawami; Hidetomo Kataoka; Daichi Kitahara; Akira Hirabayashi; Takashi Ijiri; Shigeharu Shimamura; Hiroshi Kikuchi; Tomoo Ushio

doi:10.1109/APSIPA.2017.8282000

Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar

Ryosuke Kawami, Hidetomo Kataoka, Daichi Kitahara, Akira Hirabayashi, Takashi Ijiri, Shigeharu Shimamura, Hiroshi Kikuchi, Tomoo Ushio

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Phased array weather radar (PAWR) is capable of spatially and temporally high resolution observation. This means that a PAWR generates a huge amount of observation data, say 500 megabytes in every 30 seconds. To transfer this big data in a public internet line, this paper proposes a fast 3D compressive sensing method for PAWR. The proposed method reconstructs the original data, from compressed data, as the minimizer of a convex function which evaluates the local similarity in the spatial domain and the sparsity in the frequency domain. By combining blockwise optimization with Nesterov's acceleration, we obtain an approximate solution of the above convex optimization problem at high speed. Numerical simulations show that the proposed method outperforms conventional reconstruction methods.

Original language	English
Title of host publication	Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	44-49
Number of pages	6
Volume	2018-February
ISBN (Electronic)	9781538615423
DOIs	https://doi.org/10.1109/APSIPA.2017.8282000
Publication status	Published - 2018 Feb 5
Event	9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia Duration: 2017 Dec 12 → 2017 Dec 15

Other

Other	9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Country/Territory	Malaysia
City	Kuala Lumpur
Period	17/12/12 → 17/12/15

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Information Systems
Signal Processing

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10.1109/APSIPA.2017.8282000

Cite this

Kawami, R., Kataoka, H., Kitahara, D., Hirabayashi, A., Ijiri, T., Shimamura, S., Kikuchi, H., & Ushio, T. (2018). Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar. In Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 (Vol. 2018-February, pp. 44-49). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2017.8282000

Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar. / Kawami, Ryosuke; Kataoka, Hidetomo; Kitahara, Daichi et al.

Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. p. 44-49.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kawami, R, Kataoka, H, Kitahara, D, Hirabayashi, A, Ijiri, T, Shimamura, S, Kikuchi, H & Ushio, T 2018, Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar. in Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. vol. 2018-February, Institute of Electrical and Electronics Engineers Inc., pp. 44-49, 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017, Kuala Lumpur, Malaysia, 17/12/12. https://doi.org/10.1109/APSIPA.2017.8282000

Kawami R, Kataoka H, Kitahara D, Hirabayashi A, Ijiri T, Shimamura S et al. Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar. In Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Vol. 2018-February. Institute of Electrical and Electronics Engineers Inc. 2018. p. 44-49 doi: 10.1109/APSIPA.2017.8282000

Kawami, Ryosuke ; Kataoka, Hidetomo ; Kitahara, Daichi et al. / Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar. Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. pp. 44-49

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AU - Ijiri, Takashi

AU - Shimamura, Shigeharu

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AB - Phased array weather radar (PAWR) is capable of spatially and temporally high resolution observation. This means that a PAWR generates a huge amount of observation data, say 500 megabytes in every 30 seconds. To transfer this big data in a public internet line, this paper proposes a fast 3D compressive sensing method for PAWR. The proposed method reconstructs the original data, from compressed data, as the minimizer of a convex function which evaluates the local similarity in the spatial domain and the sparsity in the frequency domain. By combining blockwise optimization with Nesterov's acceleration, we obtain an approximate solution of the above convex optimization problem at high speed. Numerical simulations show that the proposed method outperforms conventional reconstruction methods.

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Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar

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