Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder

Han Jiang; Weidong Hu

doi:10.1109/CSRSWTC60855.2023.10427532

Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder

Han Jiang^*, Weidong Hu

^*此作品的通讯作者

集成电路与电子学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

During data collection, the Microwave Radiation Imager (MWRI) on the FY3D satellite is affected by various degradation factors, resulting in varying degrees of reduced spatial resolution of multi-channel data. Irreversible high-frequency information degradation occurs during the degradation process. However, the existing spatial resolution enhancement methods cannot perfectly restore the high-frequency information of the original measurement. In this study, an algorithm based Convolutional Auto-Encoder(CAE) is proposed to improve the image resolution of MWRI and restore high-frequency information. Experimental results on simulated and actual MWRI images have demonstrated the validity and effectiveness of the method.

源语言	英语
主期刊名	Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9798350358971
DOI	https://doi.org/10.1109/CSRSWTC60855.2023.10427532
出版状态	已出版 - 2023
活动	2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023 - Guilin, 中国期限: 10 11月 2023 → 13 11月 2023

出版系列

姓名	Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023

会议

会议	2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023
国家/地区	中国
市	Guilin
时期	10/11/23 → 13/11/23

访问文件

10.1109/CSRSWTC60855.2023.10427532

其它文件与链接

链接到 Scopus 的出版物

引用此

Jiang, H., & Hu, W. (2023). Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder. 在 Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023 (Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSRSWTC60855.2023.10427532

Jiang, Han ; Hu, Weidong. / Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder. Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023).

@inproceedings{19e05ffe3cfe4515b8152144dce5f309,

title = "Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder",

abstract = "During data collection, the Microwave Radiation Imager (MWRI) on the FY3D satellite is affected by various degradation factors, resulting in varying degrees of reduced spatial resolution of multi-channel data. Irreversible high-frequency information degradation occurs during the degradation process. However, the existing spatial resolution enhancement methods cannot perfectly restore the high-frequency information of the original measurement. In this study, an algorithm based Convolutional Auto-Encoder(CAE) is proposed to improve the image resolution of MWRI and restore high-frequency information. Experimental results on simulated and actual MWRI images have demonstrated the validity and effectiveness of the method.",

keywords = "Convolutional Auto-Encoder, MWRI, high-frequency information, spatial resolution",

author = "Han Jiang and Weidong Hu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023 ; Conference date: 10-11-2023 Through 13-11-2023",

year = "2023",

doi = "10.1109/CSRSWTC60855.2023.10427532",

language = "English",

series = "Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023",

address = "United States",

}

Jiang, H & Hu, W 2023, Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder. 在 Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023. Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023, Guilin, 中国, 10/11/23. https://doi.org/10.1109/CSRSWTC60855.2023.10427532

Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder. / Jiang, Han; Hu, Weidong.
Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder

AU - Jiang, Han

AU - Hu, Weidong

PY - 2023

Y1 - 2023

N2 - During data collection, the Microwave Radiation Imager (MWRI) on the FY3D satellite is affected by various degradation factors, resulting in varying degrees of reduced spatial resolution of multi-channel data. Irreversible high-frequency information degradation occurs during the degradation process. However, the existing spatial resolution enhancement methods cannot perfectly restore the high-frequency information of the original measurement. In this study, an algorithm based Convolutional Auto-Encoder(CAE) is proposed to improve the image resolution of MWRI and restore high-frequency information. Experimental results on simulated and actual MWRI images have demonstrated the validity and effectiveness of the method.

AB - During data collection, the Microwave Radiation Imager (MWRI) on the FY3D satellite is affected by various degradation factors, resulting in varying degrees of reduced spatial resolution of multi-channel data. Irreversible high-frequency information degradation occurs during the degradation process. However, the existing spatial resolution enhancement methods cannot perfectly restore the high-frequency information of the original measurement. In this study, an algorithm based Convolutional Auto-Encoder(CAE) is proposed to improve the image resolution of MWRI and restore high-frequency information. Experimental results on simulated and actual MWRI images have demonstrated the validity and effectiveness of the method.

KW - Convolutional Auto-Encoder

KW - MWRI

KW - high-frequency information

KW - spatial resolution

UR - http://www.scopus.com/inward/record.url?scp=85186505983&partnerID=8YFLogxK

U2 - 10.1109/CSRSWTC60855.2023.10427532

DO - 10.1109/CSRSWTC60855.2023.10427532

M3 - Conference contribution

AN - SCOPUS:85186505983

T3 - Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023

BT - Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023

Y2 - 10 November 2023 through 13 November 2023

ER -

Jiang H, Hu W. Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder. 在 Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023). doi: 10.1109/CSRSWTC60855.2023.10427532

Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此