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...
Published in: | Remote Sensing |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2020
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs12071175 https://doaj.org/article/0f4c21297a534d3fab2c5c572be0f395 |
id |
ftdoajarticles:oai:doaj.org/article:0f4c21297a534d3fab2c5c572be0f395 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:0f4c21297a534d3fab2c5c572be0f395 2023-05-15T13:47:49+02:00 An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica Xianwei Wang David M. Holland 2020-04-01T00:00:00Z https://doi.org/10.3390/rs12071175 https://doaj.org/article/0f4c21297a534d3fab2c5c572be0f395 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/7/1175 https://doaj.org/toc/2072-4292 doi:10.3390/rs12071175 2072-4292 https://doaj.org/article/0f4c21297a534d3fab2c5c572be0f395 Remote Sensing, Vol 12, Iss 1175, p 1175 (2020) Sentinel-1A black margin extra wide swath interferometric wide swath edge detector synthetic aperture radar Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12071175 2022-12-31T16:11:16Z 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. Article in Journal/Newspaper Antarc* Antarctic Antarctica Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Remote Sensing 12 7 1175 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Sentinel-1A black margin extra wide swath interferometric wide swath edge detector synthetic aperture radar Science Q |
spellingShingle |
Sentinel-1A black margin extra wide swath interferometric wide swath edge detector synthetic aperture radar Science Q 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 Science Q |
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 |
Article in Journal/Newspaper |
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 |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12071175 https://doaj.org/article/0f4c21297a534d3fab2c5c572be0f395 |
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, Vol 12, Iss 1175, p 1175 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/7/1175 https://doaj.org/toc/2072-4292 doi:10.3390/rs12071175 2072-4292 https://doaj.org/article/0f4c21297a534d3fab2c5c572be0f395 |
op_doi |
https://doi.org/10.3390/rs12071175 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
7 |
container_start_page |
1175 |
_version_ |
1766247919997943808 |