Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification
The European Space Agency Sentinel-2 satellites provide multispectral images with pixel sizes down to 10 m. This high resolution allows for fast and frequent detection, classification and discrimination of various objects in the sea, which is relevant in general and specifically for the vast Arctic...
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Online Access: | https://orbit.dtu.dk/en/publications/3f8b76b9-320a-442f-aa1e-380f4125450e https://doi.org/10.3390/rs9111156 https://backend.orbit.dtu.dk/ws/files/139804421/remotesensing_09_01156_v2.pdf |
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ftdtupubl:oai:pure.atira.dk:publications/3f8b76b9-320a-442f-aa1e-380f4125450e 2024-04-28T08:08:25+00:00 Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification Heiselberg, Peder Heiselberg, Henning 2017 application/pdf https://orbit.dtu.dk/en/publications/3f8b76b9-320a-442f-aa1e-380f4125450e https://doi.org/10.3390/rs9111156 https://backend.orbit.dtu.dk/ws/files/139804421/remotesensing_09_01156_v2.pdf eng eng https://orbit.dtu.dk/en/publications/3f8b76b9-320a-442f-aa1e-380f4125450e info:eu-repo/semantics/openAccess Heiselberg , P & Heiselberg , H 2017 , ' Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification ' , Remote Sensing , vol. 9 , no. 11 , 1156 . https://doi.org/10.3390/rs9111156 Sentinel-2 Multispectral Ship Iceberg Detection Discrimination Classification Arctic article 2017 ftdtupubl https://doi.org/10.3390/rs9111156 2024-04-03T15:29:59Z The European Space Agency Sentinel-2 satellites provide multispectral images with pixel sizes down to 10 m. This high resolution allows for fast and frequent detection, classification and discrimination of various objects in the sea, which is relevant in general and specifically for the vast Arctic environment. We analyze several sets of multispectral image data from Denmark and Greenland fall and winter, and describe a supervised search and classification algorithm based on physical parameters that successfully finds and classifies all objects in the sea with reflectance above a threshold. It discriminates between objects like ships, islands, wakes, and icebergs, ice floes, and clouds with accuracy better than 90%. Pan-sharpening the infrared bands leads to classification and discrimination of ice floes and clouds better than 95%. For complex images with abundant ice floes or clouds, however, the false alarm rate dominates for small non-sailing boats. Article in Journal/Newspaper Arctic Greenland Iceberg* Technical University of Denmark: DTU Orbit Remote Sensing 9 11 1156 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
Sentinel-2 Multispectral Ship Iceberg Detection Discrimination Classification Arctic |
spellingShingle |
Sentinel-2 Multispectral Ship Iceberg Detection Discrimination Classification Arctic Heiselberg, Peder Heiselberg, Henning Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification |
topic_facet |
Sentinel-2 Multispectral Ship Iceberg Detection Discrimination Classification Arctic |
description |
The European Space Agency Sentinel-2 satellites provide multispectral images with pixel sizes down to 10 m. This high resolution allows for fast and frequent detection, classification and discrimination of various objects in the sea, which is relevant in general and specifically for the vast Arctic environment. We analyze several sets of multispectral image data from Denmark and Greenland fall and winter, and describe a supervised search and classification algorithm based on physical parameters that successfully finds and classifies all objects in the sea with reflectance above a threshold. It discriminates between objects like ships, islands, wakes, and icebergs, ice floes, and clouds with accuracy better than 90%. Pan-sharpening the infrared bands leads to classification and discrimination of ice floes and clouds better than 95%. For complex images with abundant ice floes or clouds, however, the false alarm rate dominates for small non-sailing boats. |
format |
Article in Journal/Newspaper |
author |
Heiselberg, Peder Heiselberg, Henning |
author_facet |
Heiselberg, Peder Heiselberg, Henning |
author_sort |
Heiselberg, Peder |
title |
Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification |
title_short |
Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification |
title_full |
Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification |
title_fullStr |
Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification |
title_full_unstemmed |
Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification |
title_sort |
ship-iceberg discrimination in sentinel-2 multispectral imagery by supervised classification |
publishDate |
2017 |
url |
https://orbit.dtu.dk/en/publications/3f8b76b9-320a-442f-aa1e-380f4125450e https://doi.org/10.3390/rs9111156 https://backend.orbit.dtu.dk/ws/files/139804421/remotesensing_09_01156_v2.pdf |
genre |
Arctic Greenland Iceberg* |
genre_facet |
Arctic Greenland Iceberg* |
op_source |
Heiselberg , P & Heiselberg , H 2017 , ' Ship-Iceberg Discrimination in Sentinel-2 Multispectral Imagery by Supervised Classification ' , Remote Sensing , vol. 9 , no. 11 , 1156 . https://doi.org/10.3390/rs9111156 |
op_relation |
https://orbit.dtu.dk/en/publications/3f8b76b9-320a-442f-aa1e-380f4125450e |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs9111156 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
11 |
container_start_page |
1156 |
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1797577226125836288 |