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利用商用传感器对漂移海冰上获取的超高分辨率直升机图像进行机会性镶嵌。

Mosaicking Opportunistically Acquired Very High-Resolution Helicopter-Borne Images over Drifting Sea Ice Using COTS Sensors.

机构信息

Unit of Arctic Sea-Ice Prediction, Korea Polar Research Institute, KIOST, Incheon 21990, Korea.

出版信息

Sensors (Basel). 2019 Mar 12;19(5):1251. doi: 10.3390/s19051251.

DOI:10.3390/s19051251
PMID:30871071
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6427715/
Abstract

Observing sea ice by very high-resolution (VHR) images not only improves the quality of lower-resolution remote sensing products (e.g., sea ice concentration, distribution of melt ponds and pressure ridges, sea ice surface roughness, etc.) by providing details on the ground truth of sea ice, but also assists sea ice fieldwork. In this study, two fieldwork-based methods are proposed, one for the practical acquisition of VHR images over drifting Arctic sea ice using low-cost commercial off-the-shelf (COTS) sensors equipped on a helicopter, and the other for quantifying the compensating effect from continuously drifting sea ice that reduces geolocation uncertainty in the image mosaicking procedure. The drifting trajectory of the target ice was yielded from that recorded by an icebreaker that was tightly anchored to the floe and was then used to reversely compensate the locations of acquired VHR images. After applying the compensation, three-dimensional geolocation errors of the VHR images were decreased by 79.3% and 24.2% for two pre-defined image groups, respectively. The enhanced accuracy of the imaging locations was affected by imaging duration causing variable drifting distances of individual images. Further applicability of the mosaicked VHR image was discussed by comparing it with a TerraSAR-X synthetic aperture radar image containing the target ice, suggesting that the proposed methods can be used for precise comparison with satellite remote sensing products.

摘要

通过甚高分辨率 (VHR) 图像观测海冰不仅可以通过提供海冰地面实况的详细信息来提高低分辨率遥感产品(例如海冰浓度、融池和冰脊分布、海冰表面粗糙度等)的质量,还可以辅助海冰实地工作。在这项研究中,提出了两种基于实地工作的方法,一种是使用直升机上配备的低成本商用现货 (COTS) 传感器实际获取漂移北极海冰的 VHR 图像,另一种是量化连续漂移海冰的补偿效果,从而降低图像镶嵌过程中的地理定位不确定性。目标冰的漂移轨迹是由紧密系泊在浮冰上的破冰船记录的,并用于反向补偿所获取的 VHR 图像的位置。补偿后,两个预定义图像组的 VHR 图像的三维地理定位误差分别降低了 79.3%和 24.2%。成像位置的增强精度受到成像持续时间的影响,导致个别图像的漂移距离不同。通过将镶嵌后的 VHR 图像与包含目标冰的 TerraSAR-X 合成孔径雷达图像进行比较,进一步讨论了该图像的适用性,表明所提出的方法可用于与卫星遥感产品进行精确比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/7a507af0c61c/sensors-19-01251-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/b261e8eaa70c/sensors-19-01251-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/120856fb7cb5/sensors-19-01251-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/8d47c2b533a9/sensors-19-01251-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/3bbb7feb40d1/sensors-19-01251-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/db20be6cf5bf/sensors-19-01251-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/ad8d45acbe67/sensors-19-01251-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/b9200df3526c/sensors-19-01251-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/798cded995cb/sensors-19-01251-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/86f09fbb06e8/sensors-19-01251-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/699f23bc7050/sensors-19-01251-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/7a507af0c61c/sensors-19-01251-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/b261e8eaa70c/sensors-19-01251-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/120856fb7cb5/sensors-19-01251-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/8d47c2b533a9/sensors-19-01251-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/3bbb7feb40d1/sensors-19-01251-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/db20be6cf5bf/sensors-19-01251-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/ad8d45acbe67/sensors-19-01251-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/b9200df3526c/sensors-19-01251-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/798cded995cb/sensors-19-01251-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/86f09fbb06e8/sensors-19-01251-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/699f23bc7050/sensors-19-01251-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36da/6427715/7a507af0c61c/sensors-19-01251-g011a.jpg

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