High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation

Odysseas Pappas; Nantheera Anantrasirichai; Byron Adams; Alin Achim

doi:10.1109/Radar53847.2021.10028499

High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation

Odysseas Pappas
, Nantheera Anantrasirichai
, Byron Adams
, Alin Achim

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications. We present a method based on image segmentation using the Generalised Gamma Mixture Model superpixel algorithm (MISP-GGD). MISP-GGD produces superpixels adhering with great accuracy to object edges in the image, such as the coastline. Unsupervised clustering of the generated superpixels according to textural and radiometric features allows for generation of a land/water mask from which a highly accurate coastline can be extracted. We present results of our proposed method on a number of SAR images of varying characteristics.

Original language	English
Title of host publication	2021 CIE International Conference on Radar, Radar 2021
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2525-2528
Number of pages	4
ISBN (Electronic)	9781665498142
DOIs	https://doi.org/10.1109/Radar53847.2021.10028499 https://doi.org/10.1109/Radar53847.2021.10028499
Publication status	Published - 8 Feb 2023
Event	2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China Duration: 15 Dec 2021 → 19 Dec 2021

Publication series

Name	Proceedings of the IEEE Radar Conference
Volume	2021-December
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2021 CIE International Conference on Radar, Radar 2021
Country/Territory	China
City	Haikou, Hainan
Period	15/12/21 → 19/12/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Image segmentation
Radar detection
Clustering algorithms
Sea measurements
Radar imaging
Feature extraction
Radiometry
Coastline Extraction
Synthetic Aperture Radar (SAR)
Superpixels
Generalised Gamma Distribution
MISP-GGD
Water Detection
Land Masking

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10.1109/Radar53847.2021.10028499Licence: Unspecified
10.1109/Radar53847.2021.10028499

https://arxiv.org/abs/2203.02708Licence: CC BY

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Pappas, O., Anantrasirichai, N., Adams, B., & Achim, A. (2023). High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation. In 2021 CIE International Conference on Radar, Radar 2021 (pp. 2525-2528). (Proceedings of the IEEE Radar Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/Radar53847.2021.10028499, https://doi.org/10.1109/Radar53847.2021.10028499

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title = "High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation",

abstract = "High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications. We present a method based on image segmentation using the Generalised Gamma Mixture Model superpixel algorithm (MISP-GGD). MISP-GGD produces superpixels adhering with great accuracy to object edges in the image, such as the coastline. Unsupervised clustering of the generated superpixels according to textural and radiometric features allows for generation of a land/water mask from which a highly accurate coastline can be extracted. We present results of our proposed method on a number of SAR images of varying characteristics.",

keywords = "Image segmentation, Radar detection, Clustering algorithms, Sea measurements, Radar imaging, Feature extraction, Radiometry, Coastline Extraction, Synthetic Aperture Radar (SAR), Superpixels, Generalised Gamma Distribution, MISP-GGD, Water Detection, Land Masking",

author = "Odysseas Pappas and Nantheera Anantrasirichai and Byron Adams and Alin Achim",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 CIE International Conference on Radar, Radar 2021 ; Conference date: 15-12-2021 Through 19-12-2021",

year = "2023",

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day = "8",

doi = "10.1109/Radar53847.2021.10028499",

language = "English",

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Pappas, O, Anantrasirichai, N, Adams, B & Achim, A 2023, High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation. in 2021 CIE International Conference on Radar, Radar 2021. Proceedings of the IEEE Radar Conference, vol. 2021-December, Institute of Electrical and Electronics Engineers (IEEE), pp. 2525-2528, 2021 CIE International Conference on Radar, Radar 2021, Haikou, Hainan, China, 15/12/21. https://doi.org/10.1109/Radar53847.2021.10028499, https://doi.org/10.1109/Radar53847.2021.10028499

High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation. / Pappas, Odysseas; Anantrasirichai, Nantheera; Adams, Byron et al.
2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 2525-2528 (Proceedings of the IEEE Radar Conference; Vol. 2021-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation

AU - Pappas, Odysseas

AU - Anantrasirichai, Nantheera

AU - Adams, Byron

AU - Achim, Alin

PY - 2023/2/8

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N2 - High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications. We present a method based on image segmentation using the Generalised Gamma Mixture Model superpixel algorithm (MISP-GGD). MISP-GGD produces superpixels adhering with great accuracy to object edges in the image, such as the coastline. Unsupervised clustering of the generated superpixels according to textural and radiometric features allows for generation of a land/water mask from which a highly accurate coastline can be extracted. We present results of our proposed method on a number of SAR images of varying characteristics.

AB - High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications. We present a method based on image segmentation using the Generalised Gamma Mixture Model superpixel algorithm (MISP-GGD). MISP-GGD produces superpixels adhering with great accuracy to object edges in the image, such as the coastline. Unsupervised clustering of the generated superpixels according to textural and radiometric features allows for generation of a land/water mask from which a highly accurate coastline can be extracted. We present results of our proposed method on a number of SAR images of varying characteristics.

KW - Image segmentation

KW - Radar detection

KW - Clustering algorithms

KW - Sea measurements

KW - Radar imaging

KW - Feature extraction

KW - Radiometry

KW - Coastline Extraction

KW - Synthetic Aperture Radar (SAR)

KW - Superpixels

KW - Generalised Gamma Distribution

KW - MISP-GGD

KW - Water Detection

KW - Land Masking

U2 - 10.1109/Radar53847.2021.10028499

DO - 10.1109/Radar53847.2021.10028499

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:85181102023

T3 - Proceedings of the IEEE Radar Conference

SP - 2525

EP - 2528

BT - 2021 CIE International Conference on Radar, Radar 2021

PB - Institute of Electrical and Electronics Engineers (IEEE)

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ER -

Pappas O, Anantrasirichai N, Adams B, Achim A. High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation. In 2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers (IEEE). 2023. p. 2525-2528. (Proceedings of the IEEE Radar Conference). doi: 10.1109/Radar53847.2021.10028499, 10.1109/Radar53847.2021.10028499

High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation

Abstract

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Keywords

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