期刊
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
卷 9, 期 3, 页码 138-156出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MGRS.2021.3074533
关键词
Oceans; Sea surface; Optical surface waves; Spaceborne radar; Sea measurements; Ocean temperature; Surface topography
资金
- Ministry of Science and Technology of the Republic of China (Taiwan) [109-2611-M-006-002]
This article discusses the development of a satellite image-matching system (SIMS) that can detect and track ocean surface features from GOCI data, thereby gaining a better understanding of ocean surface currents.
Tracking the movement of natural surface features across the time intervals between successive images has gained widespread acceptance for mapping ocean surface currents (OSCs). The 500-m and 1-h spatiotemporal resolutions of the Geostationary Ocean Color Imager (GOCI), launched in 2010, are ideal for observing the dynamics of mesoscale eddies and the diurnal changes dominated by tides. All reported works to date, however, are limited to a few occasions when there were cloudless skies and pixel-level accuracy. As a result, the abundant GOCI hourly data have not been put into an operational service to derive OSCs. This article revisits ocean feature detection and tracking techniques to discuss the development of a satellite image-matching system (SIMS). The results show that a SIMS can detect and track features from two consecutive GOCI images to approximately a 0.25-pixel level of accuracy in the presence of variable gaps due to land and clouds. Suspicious vectors can be ruled out by initially using size-irrelevant filtering and majority filtering methods with minimum preset thresholds. The products of pathlines and streamlines derived from GOCI hourly data make it possible to gain a better understanding of OSCs, both qualitatively and quantitatively.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据