Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching
Sea ice drift detection has the key role of global climate analysis and waterway planning. The ability to detect sea ice drift in real-time also contributes to the safe navigation of ships and the prevention of offshore oil platform accidents. In this paper, an Enhanced Delaunay Triangulation (EDT)...
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/rs12030581 https://doaj.org/article/861f287ca6664856a5b37622a615f443 |
id |
ftdoajarticles:oai:doaj.org/article:861f287ca6664856a5b37622a615f443 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:861f287ca6664856a5b37622a615f443 2023-05-15T18:16:16+02:00 Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching Ming Zhang Jubai An Jie Zhang Dahua Yu Junkai Wang Xiaoqi Lv 2020-02-01T00:00:00Z https://doi.org/10.3390/rs12030581 https://doaj.org/article/861f287ca6664856a5b37622a615f443 EN eng MDPI AG https://www.mdpi.com/2072-4292/12/3/581 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12030581 https://doaj.org/article/861f287ca6664856a5b37622a615f443 Remote Sensing, Vol 12, Iss 3, p 581 (2020) delaunay triangulation dual-polarization feature tracking pattern matching sea ice tracking sentinel-1 synthetic aperture radar (sar) Science Q article 2020 ftdoajarticles https://doi.org/10.3390/rs12030581 2022-12-31T16:12:34Z Sea ice drift detection has the key role of global climate analysis and waterway planning. The ability to detect sea ice drift in real-time also contributes to the safe navigation of ships and the prevention of offshore oil platform accidents. In this paper, an Enhanced Delaunay Triangulation (EDT) algorithm for sea ice tracking was proposed for dual-polarization sequential Synthetic Aperture Radar (SAR) images, which was implemented by combining feature tracking with pattern matching based on integrating HH and HV polarization feature information. A sea ice retrieval algorithm for feature detection, matching, fusion, and outlier detection was specifically developed to increase the system’s accuracy and robustness. In comparison with several state-of-the-art sea ice drift retrieval algorithms, including Speeded Up Robust Features (SURF) and the Oriented FAST and Rotated BRIEF (ORB) method, the results of the experiment provided compelling evidence that our algorithm had a higher accuracy than the SURF and ORB method. Furthermore, the results of our method were compared with the drift vector and direction of buoys data. The drift direction is consistent with buoys, and the velocity deviation was about 10 m. It was proved that this method can be applied effectively to the retrieval of sea ice drift. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 12 3 581 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
delaunay triangulation dual-polarization feature tracking pattern matching sea ice tracking sentinel-1 synthetic aperture radar (sar) Science Q |
spellingShingle |
delaunay triangulation dual-polarization feature tracking pattern matching sea ice tracking sentinel-1 synthetic aperture radar (sar) Science Q Ming Zhang Jubai An Jie Zhang Dahua Yu Junkai Wang Xiaoqi Lv Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching |
topic_facet |
delaunay triangulation dual-polarization feature tracking pattern matching sea ice tracking sentinel-1 synthetic aperture radar (sar) Science Q |
description |
Sea ice drift detection has the key role of global climate analysis and waterway planning. The ability to detect sea ice drift in real-time also contributes to the safe navigation of ships and the prevention of offshore oil platform accidents. In this paper, an Enhanced Delaunay Triangulation (EDT) algorithm for sea ice tracking was proposed for dual-polarization sequential Synthetic Aperture Radar (SAR) images, which was implemented by combining feature tracking with pattern matching based on integrating HH and HV polarization feature information. A sea ice retrieval algorithm for feature detection, matching, fusion, and outlier detection was specifically developed to increase the system’s accuracy and robustness. In comparison with several state-of-the-art sea ice drift retrieval algorithms, including Speeded Up Robust Features (SURF) and the Oriented FAST and Rotated BRIEF (ORB) method, the results of the experiment provided compelling evidence that our algorithm had a higher accuracy than the SURF and ORB method. Furthermore, the results of our method were compared with the drift vector and direction of buoys data. The drift direction is consistent with buoys, and the velocity deviation was about 10 m. It was proved that this method can be applied effectively to the retrieval of sea ice drift. |
format |
Article in Journal/Newspaper |
author |
Ming Zhang Jubai An Jie Zhang Dahua Yu Junkai Wang Xiaoqi Lv |
author_facet |
Ming Zhang Jubai An Jie Zhang Dahua Yu Junkai Wang Xiaoqi Lv |
author_sort |
Ming Zhang |
title |
Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching |
title_short |
Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching |
title_full |
Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching |
title_fullStr |
Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching |
title_full_unstemmed |
Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching |
title_sort |
enhanced delaunay triangulation sea ice tracking algorithm with combining feature tracking and pattern matching |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12030581 https://doaj.org/article/861f287ca6664856a5b37622a615f443 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sensing, Vol 12, Iss 3, p 581 (2020) |
op_relation |
https://www.mdpi.com/2072-4292/12/3/581 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs12030581 https://doaj.org/article/861f287ca6664856a5b37622a615f443 |
op_doi |
https://doi.org/10.3390/rs12030581 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
3 |
container_start_page |
581 |
_version_ |
1766189785833013248 |