气候变化领域集成服务门户(CCPortal): Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery

CCPortal

DOI	10.5194/tc-10-913-2016
	Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery
	Muckenhuber S.; Korosov A.A.; Sandven S.
发表日期	2016
ISSN	19940416
卷号	10 期号:2
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.
学科领域	algorithm; ice drift; image analysis; sea ice; Sentinel; software; synthetic aperture radar; Arctic; Fram Strait; Greenland; Krasnoyarsk [Russian Federation]; Russian Federation; Severnaya Zemlya
语种	英语
scopus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
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119655
作者单位	Nansen Environmental and Remote Sensing Center (NERSC), Thormøhlensgate 47, Bergen, 5006, Norway
推荐引用方式 GB/T 7714	Muckenhuber S.,Korosov A.A.,Sandven S.. Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery[J],2016,10(2).
APA	Muckenhuber S.,Korosov A.A.,&Sandven S..(2016).Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery.Cryosphere,10(2).
MLA	Muckenhuber S.,et al."Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery".Cryosphere 10.2(2016).