An improvement in accuracy and spatial resolution of the pattern-matching sea ice drift from SAR imagery

Wang, Xue; Chen, Zhuoqi; Fang, Yan; Wang, Ruirui; Li, Chaoyue; Li, Gang; Hui, Fengming; Huang, Huabing; Cheng, Xiao

doi:10.1080/17538947.2023.2264918

Cited by 2 publications

(1 citation statement)

References 61 publications

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“…Currently, obtaining wide-ranging sea ice movement data using satellite information has become the primary method due to the advantages of broad observation coverage, rapid imaging, and periodic observations. Satellite sensors that provide sea ice movement research data mainly include passive microwave [12]- [14], optical [15]- [17], and synthetic aperture radar (SAR) [18]- [24] imagery. Currently, the main sea ice movement products published by leading international institutions include NSIDC (National Snow and Ice Data Center), OSI SAF (Ocean and Sea Ice Satellite Application Facility), and Ifremer (French Research Institute for the Exploitation of the Seas).…”

Section: Introductionmentioning

confidence: 99%

Improvement of Sea Ice Drift Extraction Based on Feature Tracking from C-SAR/01 Imagery

Yang,

Xie,

Sun

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In this study, the extraction of sea ice drift from imagery captured by the 1-meter C-SAR 01 satellite (C-SAR/01) was facilitated utilizing the Oriented fast and Rotated Brief (ORB) algorithm within the Feature Tracking (FT) procedure, thus addressing the previously unexplored area of sea ice drift extraction using C-SAR/01 imagery. The retained keypoints and Nearest Neighbor Distance Ratio test (NNDR) for sea ice drift extracted from C-SAR/01 imagery was compared, indicating high reliability with 300000 and 0.75, respectively. Additionally, the Local Outlier Factor (LOF) algorithm is proposed in this paper, which can effectively remove erroneous sea ice drift vectors. The sea ice drift extracted from C-SAR/01 was validated against manually extracted sea ice drift, revealing an uncertainty of 0.271 cm/s in speed and 8.331° in direction. Furthermore, the sea ice drift obtained from the algorithm in this study, when compared with sea ice drift from IABP buoys, exhibits high accuracy, reflecting the robustness of the algorithm.

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