| DOI: | 10.5194/tc-10-913-2016
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| Scopus记录号: | 2-s2.0-84966325503
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| 论文题名: | Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery |
| 作者: | Muckenhuber S; , Korosov A; A; , Sandven S
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| 刊名: | Cryosphere
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| ISSN: | 19940416
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| 出版年: | 2016
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| 卷: | 10, 期:2 | | 起始页码: | 913
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| 结束页码: | 925
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| 语种: | 英语
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| 英文关键词: | algorithm
; ice drift
; image analysis
; sea ice
; Sentinel
; software
; synthetic aperture radar
; Arctic
; Fram Strait
; Greenland
; Krasnoyarsk [Russian Federation]
; Russian Federation
; Severnaya Zemlya
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| 英文摘要: | A computationally efficient, open-source feature-tracking algorithm, called ORB, is adopted and tuned for sea ice drift retrieval from Sentinel-1 SAR (Synthetic Aperture Radar) images. The most suitable setting and parameter values have been found using four Sentinel-1 image pairs representative of sea ice conditions between Greenland and Severnaya Zemlya during winter and spring. The performance of the algorithm is compared to two other feature-tracking algorithms, namely SIFT (Scale-Invariant Feature Transform) and SURF (Speeded-Up Robust Features). Having been applied to 43 test image pairs acquired over Fram Strait and the north-east of Greenland, the tuned ORB (Oriented FAST and Rotated BRIEF) algorithm produces the highest number of vectors (177 513, SIFT: 43 260 and SURF: 25 113), while being computationally most efficient (66 s, SIFT: 182 s and SURF: 99 s per image pair using a 2.7 GHz processor with 8 GB memory). For validation purposes, 314 manually drawn vectors have been compared with the closest calculated vectors, and the resulting root mean square error of ice drift is 563 m. All test image pairs show a significantly better performance of the HV (horizontal transmit, vertical receive) channel due to higher informativeness. On average, around four times as many vectors have been found using HV polarization. All software requirements necessary for applying the presented feature-tracking algorithm are open source to ensure a free and easy implementation. © Author(s) 2016. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/75151
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| Appears in Collections: | 影响、适应和脆弱性
气候变化与战略
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作者单位: | Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, Bergen, Norway
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| Recommended Citation: | |
Muckenhuber S,, Korosov A,A,et al. Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery[J]. Cryosphere,2016-01-01,10(2)
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