Aircraft Detection above Clouds by Sentinel-2 MSI Parallax
Detection of aircrafts in satellite images is a challenging problem when the background is strongly reflective clouds with varying transparency. We develop a fast and effective detection algorithm that can find almost all aircrafts above and between clouds in Sentinel-2 multispectral images. It expl...
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Format: | Article |
Language: | English |
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MDPI AG
2021-08-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/13/15/3016 |
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author | Peder Heiselberg Henning Heiselberg |
author_facet | Peder Heiselberg Henning Heiselberg |
author_sort | Peder Heiselberg |
collection | DOAJ |
description | Detection of aircrafts in satellite images is a challenging problem when the background is strongly reflective clouds with varying transparency. We develop a fast and effective detection algorithm that can find almost all aircrafts above and between clouds in Sentinel-2 multispectral images. It exploits the time delay of a few seconds between the recorded multispectral images such that a moving aircraft is observed at different positions due to parallax effects. The aircraft speed, heading and altitude are also calculated accurately. Analysing images over the English Channel during fall 2020, we obtain a detection accuracy of 80%, where the most of the remaining were covered by clouds. We also analyse images in the 1.38 μm water absorption band, where only 61% of the aircrafts are detected. |
first_indexed | 2024-03-10T09:09:21Z |
format | Article |
id | doaj.art-9d12180ff84a4dc5aa14adc429832a78 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T09:09:21Z |
publishDate | 2021-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-9d12180ff84a4dc5aa14adc429832a782023-11-22T06:07:36ZengMDPI AGRemote Sensing2072-42922021-08-011315301610.3390/rs13153016Aircraft Detection above Clouds by Sentinel-2 MSI ParallaxPeder Heiselberg0Henning Heiselberg1National Space Institute, Technical University of Denmark, DK-2800 Kgs. Lyngby, DenmarkNational Space Institute, Technical University of Denmark, DK-2800 Kgs. Lyngby, DenmarkDetection of aircrafts in satellite images is a challenging problem when the background is strongly reflective clouds with varying transparency. We develop a fast and effective detection algorithm that can find almost all aircrafts above and between clouds in Sentinel-2 multispectral images. It exploits the time delay of a few seconds between the recorded multispectral images such that a moving aircraft is observed at different positions due to parallax effects. The aircraft speed, heading and altitude are also calculated accurately. Analysing images over the English Channel during fall 2020, we obtain a detection accuracy of 80%, where the most of the remaining were covered by clouds. We also analyse images in the 1.38 μm water absorption band, where only 61% of the aircrafts are detected.https://www.mdpi.com/2072-4292/13/15/3016remote sensingSentinel-2multispectral imagingaircraftsvelocitiesclouds |
spellingShingle | Peder Heiselberg Henning Heiselberg Aircraft Detection above Clouds by Sentinel-2 MSI Parallax Remote Sensing remote sensing Sentinel-2 multispectral imaging aircrafts velocities clouds |
title | Aircraft Detection above Clouds by Sentinel-2 MSI Parallax |
title_full | Aircraft Detection above Clouds by Sentinel-2 MSI Parallax |
title_fullStr | Aircraft Detection above Clouds by Sentinel-2 MSI Parallax |
title_full_unstemmed | Aircraft Detection above Clouds by Sentinel-2 MSI Parallax |
title_short | Aircraft Detection above Clouds by Sentinel-2 MSI Parallax |
title_sort | aircraft detection above clouds by sentinel 2 msi parallax |
topic | remote sensing Sentinel-2 multispectral imaging aircrafts velocities clouds |
url | https://www.mdpi.com/2072-4292/13/15/3016 |
work_keys_str_mv | AT pederheiselberg aircraftdetectionabovecloudsbysentinel2msiparallax AT henningheiselberg aircraftdetectionabovecloudsbysentinel2msiparallax |