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...

Full description

Bibliographic Details
Main Authors: Peder Heiselberg, Henning Heiselberg
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/15/3016
_version_ 1827686377773334528
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