Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data

Ming Chi Wong; Yulin Wei; Julian Halloy

doi:10.1109/TENCON55691.2022.9977982

Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data

Ming Chi Wong, Yulin Wei, Julian Halloy

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Satellite images of the Earth's surface have a multitude of uses. However., this data comes with some inherent issues. One such issue is cloud coverage. We propose the use of image segmentation to identify clouds in images. Another problem is the size of the data., which must be transferred over the satellite's limited connection bandwidth. We propose several compression methods for reducing data size effectively. The data is of varying quality, so the use of noise removal techniques can improve the accuracy and usability of the data.

Original language	English
Title of host publication	2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration
Subtitle of host publication	“Tech-Biz Intelligence”
Publisher	IEEE
ISBN (Electronic)	978-1-6654-5095-9
DOIs	https://doi.org/10.1109/TENCON55691.2022.9977982
Publication status	Published - 2022
Event	2022 IEEE Region 10 International Conference, TENCON 2022 - Virtual, Online, Hong Kong, China Duration: 1 Nov 2022 → 4 Nov 2022 https://www.tencon2022.org/

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2022-November
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2022 IEEE Region 10 International Conference, TENCON 2022
Place	Hong Kong, China
City	Virtual, Online
Period	1/11/22 → 4/11/22
Internet address	https://www.tencon2022.org/

Research Keywords

Deep Learning
GANs
Image Processing
Super-resolution

Access Output

10.1109/TENCON55691.2022.9977982

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Wong, M. C., Wei, Y., & Halloy, J. (2022). Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data. In 2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration: “Tech-Biz Intelligence” (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2022-November). IEEE. https://doi.org/10.1109/TENCON55691.2022.9977982

Wong, Ming Chi ; Wei, Yulin ; Halloy, Julian. / Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data. 2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration: “Tech-Biz Intelligence”. IEEE, 2022. (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

@inproceedings{6f95a6c2e94a401786ef9e3c7d9628a0,

title = "Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data",

abstract = "Satellite images of the Earth's surface have a multitude of uses. However., this data comes with some inherent issues. One such issue is cloud coverage. We propose the use of image segmentation to identify clouds in images. Another problem is the size of the data., which must be transferred over the satellite's limited connection bandwidth. We propose several compression methods for reducing data size effectively. The data is of varying quality, so the use of noise removal techniques can improve the accuracy and usability of the data.",

keywords = "Deep Learning, GANs, Image Processing, Super-resolution",

author = "Wong, {Ming Chi} and Yulin Wei and Julian Halloy",

year = "2022",

doi = "10.1109/TENCON55691.2022.9977982",

language = "English",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

publisher = "IEEE",

booktitle = "2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration",

address = "United States",

note = "2022 IEEE Region 10 International Conference, TENCON 2022 ; Conference date: 01-11-2022 Through 04-11-2022",

url = "https://www.tencon2022.org/",

}

Wong, MC, Wei, Y & Halloy, J 2022, Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data. in 2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration: “Tech-Biz Intelligence”. IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2022-November, IEEE, 2022 IEEE Region 10 International Conference, TENCON 2022, Virtual, Online, Hong Kong, China, 1/11/22. https://doi.org/10.1109/TENCON55691.2022.9977982

Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data. / Wong, Ming Chi; Wei, Yulin; Halloy, Julian.
2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration: “Tech-Biz Intelligence”. IEEE, 2022. (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2022-November).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data

AU - Wong, Ming Chi

AU - Wei, Yulin

AU - Halloy, Julian

PY - 2022

Y1 - 2022

N2 - Satellite images of the Earth's surface have a multitude of uses. However., this data comes with some inherent issues. One such issue is cloud coverage. We propose the use of image segmentation to identify clouds in images. Another problem is the size of the data., which must be transferred over the satellite's limited connection bandwidth. We propose several compression methods for reducing data size effectively. The data is of varying quality, so the use of noise removal techniques can improve the accuracy and usability of the data.

AB - Satellite images of the Earth's surface have a multitude of uses. However., this data comes with some inherent issues. One such issue is cloud coverage. We propose the use of image segmentation to identify clouds in images. Another problem is the size of the data., which must be transferred over the satellite's limited connection bandwidth. We propose several compression methods for reducing data size effectively. The data is of varying quality, so the use of noise removal techniques can improve the accuracy and usability of the data.

KW - Deep Learning

KW - GANs

KW - Image Processing

KW - Super-resolution

UR - http://www.scopus.com/inward/record.url?scp=85145659035&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85145659035&origin=recordpage

U2 - 10.1109/TENCON55691.2022.9977982

DO - 10.1109/TENCON55691.2022.9977982

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

BT - 2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration

PB - IEEE

T2 - 2022 IEEE Region 10 International Conference, TENCON 2022

Y2 - 1 November 2022 through 4 November 2022

ER -

Wong MC, Wei Y, Halloy J. Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data. In 2022 IEEE TENCON - Proceedings of 2022 IEEE Region 10 International Conference cum IEEE Hong Kong 50th Anniversary Celebration: “Tech-Biz Intelligence”. IEEE. 2022. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Epub 2022 Dec 20. doi: 10.1109/TENCON55691.2022.9977982

Cloud Segmentation, Denoising, and Compression Techniques for use on Sentinel-3 Satellite Data

Abstract

Publication series

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this