An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica
The Sentinel-1A satellite was launched in April 2014 with a primary C-Band terrain observation with progressive scans synthetic aperture radar (TOPSAR) onboard and has collected plenty of high-quality images for global change studies. However, low magnitude signals around image margins (black margin...
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ftmdpi:oai:mdpi.com:/2072-4292/12/7/1175/ 2023-08-20T04:02:06+02:00 An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica Xianwei Wang David M. Holland agris 2020-04-06 application/pdf https://doi.org/10.3390/rs12071175 EN eng Multidisciplinary Digital Publishing Institute Environmental Remote Sensing https://dx.doi.org/10.3390/rs12071175 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 7; Pages: 1175 Sentinel-1A black margin extra wide swath interferometric wide swath edge detector synthetic aperture radar Text 2020 ftmdpi https://doi.org/10.3390/rs12071175 2023-07-31T23:20:18Z The Sentinel-1A satellite was launched in April 2014 with a primary C-Band terrain observation with progressive scans synthetic aperture radar (TOPSAR) onboard and has collected plenty of high-quality images for global change studies. However, low magnitude signals around image margins (black margins) does not preserve the normal standard level, influencing the potential usage with these data. Through image analysis, we find that the signal from black margin (BM) is highly dominated by the closest effective signals and the signal in BM shows an increasing trend along the direction from image boundary to image center. An edge detector is developed based on the signal characteristics of BM. Furthermore, an automatic method to discriminate and eliminate BM is designed. Images from both extra wide (EW) and interferometric wide (IW) swath observation modes, covering the land, ocean, and coast of the Antarctic, are taken to verify the robustness of our method. Through comparison with BM edges extracted by human interpretation, our method has the maximum BM edge extraction error of 1.9 ± 3.2 pixels. When considering perimeter (or area) difference along radial direction of BM edge, our method has an averaging extraction accuracy of −0.35 ± 0.11 (or 0.14 ± 1.38) pixels, which suggests that our method is effective and can be potentially used to eliminate BM for multidisciplinary applications of Sentinel-1 data. Text Antarc* Antarctic Antarctica MDPI Open Access Publishing Antarctic The Antarctic The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Remote Sensing 12 7 1175 |
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Open Polar |
collection |
MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
Sentinel-1A black margin extra wide swath interferometric wide swath edge detector synthetic aperture radar |
spellingShingle |
Sentinel-1A black margin extra wide swath interferometric wide swath edge detector synthetic aperture radar Xianwei Wang David M. Holland An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica |
topic_facet |
Sentinel-1A black margin extra wide swath interferometric wide swath edge detector synthetic aperture radar |
description |
The Sentinel-1A satellite was launched in April 2014 with a primary C-Band terrain observation with progressive scans synthetic aperture radar (TOPSAR) onboard and has collected plenty of high-quality images for global change studies. However, low magnitude signals around image margins (black margins) does not preserve the normal standard level, influencing the potential usage with these data. Through image analysis, we find that the signal from black margin (BM) is highly dominated by the closest effective signals and the signal in BM shows an increasing trend along the direction from image boundary to image center. An edge detector is developed based on the signal characteristics of BM. Furthermore, an automatic method to discriminate and eliminate BM is designed. Images from both extra wide (EW) and interferometric wide (IW) swath observation modes, covering the land, ocean, and coast of the Antarctic, are taken to verify the robustness of our method. Through comparison with BM edges extracted by human interpretation, our method has the maximum BM edge extraction error of 1.9 ± 3.2 pixels. When considering perimeter (or area) difference along radial direction of BM edge, our method has an averaging extraction accuracy of −0.35 ± 0.11 (or 0.14 ± 1.38) pixels, which suggests that our method is effective and can be potentially used to eliminate BM for multidisciplinary applications of Sentinel-1 data. |
format |
Text |
author |
Xianwei Wang David M. Holland |
author_facet |
Xianwei Wang David M. Holland |
author_sort |
Xianwei Wang |
title |
An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica |
title_short |
An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica |
title_full |
An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica |
title_fullStr |
An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica |
title_full_unstemmed |
An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica |
title_sort |
automatic method for black margin elimination of sentinel-1a images over antarctica |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12071175 |
op_coverage |
agris |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Antarctic The Antarctic The Sentinel |
geographic_facet |
Antarctic The Antarctic The Sentinel |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
Remote Sensing; Volume 12; Issue 7; Pages: 1175 |
op_relation |
Environmental Remote Sensing https://dx.doi.org/10.3390/rs12071175 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12071175 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
7 |
container_start_page |
1175 |
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1774712487615135744 |