期刊论文

Chunxia Zhou

英文

International Journal of Applied Earth Observation and Geoinformation

1569-8432

2022

112

102908

10.1016/j.jag.2022.102908

The Sentinel-1 SAR images can be obtained free of charge from the Copernicus Open Access Hub. () or the Alaska Satellite Facility Vertex interface. ( https://search.asf.alaska.edu/ ). The Envisat ASAR images can be downloaded from the EOLI-SA user interface by the European Space Agency (ESA). ( https://earth.esa.int/eogateway/ ). The MODIS images can be downloaded from the National Aeronautics and Space Administration (NASA) Worldview Snapshots application ( https://worldview.earthdata.nasa.gov/ ). The ALOS-2 PALSAR-2 images were supported by the Japan Aerospace Exploration Agency (JAXA) 6th Research Announcement, PI number 3332. N-ICE2015 buoy data supported by the Norwegian Polar Institute’s Centre for Ice, Climate and Ecosystems (ICE) through the N-ICE project ( https://www.npolar.no/en/projects/n-ice2015/ ). The ITP buoy data were collected and made available by the Ice-Tethered Profiler Program based at the Woods Hole Oceanographic Institution ( http://www.whoi.edu/itp ). The OSI-SAF SIC products be obtained free of charge from the Ocean and Sea Ice Satellite Application Facility ( https://osi-saf.eumetsat.int/products/osi-401-b ). The Python code to produce the SIM dataset is being refined. We plan to make it public on GitHub in 2023.

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This study presents an improved, versatile, and efficient algorithm based on the Oriented FAST and Rotated BRIEF (ORB) combined with the maximum cross-correlation (MCC) (ORB-MCC) for extracting sea ice motion (SIM) vectors. Quadtree ORB (Q-ORB) extracts more uniform feature points than ORB (uniformity is 3 times higher) and eliminates the concentration of ORB-extracted feature points on ice ridges, leads and coastlines, thereby providing excellent initial conditions for MCC calculations. In addition, a geographic grid-based matching (GGM) algor...