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

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

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

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.

Original language	English
Title of host publication	Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350358971
DOIs	https://doi.org/10.1109/CSRSWTC60855.2023.10427532
Publication status	Published - 2023
Event	2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023 - Guilin, China Duration: 10 Nov 2023 → 13 Nov 2023

Publication series

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

Conference

Conference	2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023
Country/Territory	China
City	Guilin
Period	10/11/23 → 13/11/23

Keywords

Convolutional Auto-Encoder
MWRI
high-frequency information
spatial resolution

Access to Document

10.1109/CSRSWTC60855.2023.10427532

Cite this

Jiang, H., & Hu, W. (2023). Spatial Resolution Enhancement Technology of FY-3D MWRI Based on Convolutional Auto-Encoder. In 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. in 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, China, 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).

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

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. In 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

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