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An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica

1
Center for Global Sea Level Change, New York University Abu Dhabi, Abu Dhabi 129188, UAE
2
Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(7), 1175; https://doi.org/10.3390/rs12071175
Received: 4 March 2020 / Revised: 1 April 2020 / Accepted: 1 April 2020 / Published: 6 April 2020
(This article belongs to the Section Environmental Remote Sensing)
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. View Full-Text
Keywords: Sentinel-1A; black margin; extra wide swath; interferometric wide swath; edge detector; synthetic aperture radar Sentinel-1A; black margin; extra wide swath; interferometric wide swath; edge detector; synthetic aperture radar
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MDPI and ACS Style

Wang, X.; Holland, D.M. An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica. Remote Sens. 2020, 12, 1175. https://doi.org/10.3390/rs12071175

AMA Style

Wang X, Holland DM. An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica. Remote Sensing. 2020; 12(7):1175. https://doi.org/10.3390/rs12071175

Chicago/Turabian Style

Wang, Xianwei, and David M. Holland. 2020. "An Automatic Method for Black Margin Elimination of Sentinel-1A Images over Antarctica" Remote Sensing 12, no. 7: 1175. https://doi.org/10.3390/rs12071175

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