Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching
Enhanced Delaunay Triangulation Sea Ice Tracking Algorithm with Combining Feature Tracking and Pattern Matching
复制标题
结合特征跟踪和模式匹配的增强型 Delaunay 三角测量海冰跟踪算法
DOI：
10.3390/rs12030581
复制
发表时间：
2020-02
期刊：
影响因子：
5
通讯作者：
Lv Xiaoqi
中科院分区：
文献类型：
--
作者：
Zhang Ming;An Jubai;Zhang Jie;Yu Dahua;Wang Junkai;Lv Xiaoqi
海冰漂移探测在全球气候分析和航道规划中起着关键作用。实时检测海冰漂移的能力也有助于船舶的安全航行和防止近海石油平台事故的发生。提出了一种双极化序贯合成孔径雷达(SAR)图像海冰跟踪的增强Delaunay三角剖分(EDT)算法，该算法将特征跟踪与模式匹配相结合，综合了HH和HV极化特征信息。为了提高系统的精度和稳健性，提出了一种用于特征检测、匹配、融合和离群点检测的海冰提取算法。与几种最新的海冰漂移反演算法，包括加速稳健特征法(SURF)和面向快速旋转简化法(ORB)，实验结果表明，该算法具有较高的精度。此外，将该方法的结果与浮标数据的漂移矢量和方向进行了比较。海冰漂移方向与浮标方向一致，速度偏差在10m左右，可以有效地应用于海冰漂移的反演。
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.
登录
查看更多内容
DOI：
10.1109/tgrs.2011.2161586
发表时间：
2012-02-01
影响因子：
8.2
作者：
Parrilli, Sara;Poderico, Mariana;Verdoliva, Luisa
通讯作者：
Verdoliva, Luisa
影响因子：
8.2
作者：
J. Haarpaintner
通讯作者：
J. Haarpaintner
DOI：
10.1023/b:visi.0000029664.99615.94
发表时间：
2004-11-01
影响因子：
19.5
作者：
Lowe, DG
通讯作者：
Lowe, DG
影响因子：
4.1
作者：
M. Thomas;C. Geiger;C. Kambhamettu
通讯作者：
M. Thomas;C. Geiger;C. Kambhamettu
影响因子：
--
作者：
W. Emery;C. Fowler;J. Hawkins;R. Preller
通讯作者：
W. Emery;C. Fowler;J. Hawkins;R. Preller