Improvement of the feature tracking and patter matching algorithm for sea ice motion retrieval from SAR and optical imagery

• Published in: International Journal of Applied Earth Observation and Geoinformation
• Main Authors: Mingci Li, Chunxia Zhou, Xiaoli Chen, Yong Liu, Bing Li, Tingting Liu
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2022
• Subjects: Sea ice motion; Feature tracking; Maximum cross-correlation; Q-ORB; Geographic grid-based matching; Locally consistent filtering; geo; envir; Asar; The Sentinel; Sea ice
• Online Access: https://doi.org/10.1016/j.jag.2022.102908; https://doaj.org/article/270d6e12279c423186491e0465e3f233

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 (uniformi...