Please use this identifier to cite or link to this item:
Title: Performance of region-based matching techniques to compute the ocean surface motion
Authors: Marcello, Javier 
Marquês, Ferran
Eugenio, Francisco 
UNESCO Clasification: 3308 Ingeniería y tecnología del medio ambiente
Keywords: Velocities
Motion Estimation
Maximum Cross-Correlation
Region Matching
Ocean Currents
Issue Date: 2007
Journal: IEEE International Geoscience and Remote Sensing Symposium proceedings 
Conference: 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 
Abstract: The study of the ocean circulation is the central core of all dynamical oceanography. The routine derivation of sea surface temperature or infrared brightness temperatures has been used to estimate the surface circulation by calculating the motion of the thermal features (coastal upwellings, filaments and eddies) in successive images. To that respect, a number of authors have developed different methodologies to recover the motion field, but the most straightforward methods match patterns (points, borders or regions) in all possible subwindows of one image with those in the next image. The maximization of the normalized crosscorrelation coefficient, known as the Maximum Cross-Correlation (MCC) technique, is the most popular region-based matching metric applied to compute ocean circulation. In this paper a careful analysis of different region matching techniques has been conducted and the performance achieved for each approach is presented. The assessment methodology uses a database of synthetic sequences, real sequences and in-situ speed measurements. After the qualitative and quantitative analysis, we can conclude that the best performance is achieved by ZSAD, ZSSD, NZSSD and NCC metrics. These metrics achieve, when applied to synthetic sequences, mean angular errors around 30° and magnitude errors around 30% for the worst case. In general the flow field recovered by the 4 previous metrics, perfectly models the motion of the structures in real sequences. Finally, results obtained with comparison with ground-truth data suggest an underestimation in the computed velocity between 35%-45% but with a higher angular accuracy, achieving global errors around 30°-50°. To conclude, it is important to emphasize that the prevalent MCC method provides acceptable results but with more errors when compared with the four previous metrics over the three databases.
ISBN: 1424412129
ISSN: 2153-6996
DOI: 10.1109/IGARSS.2007.4422952
Source: International Geoscience and Remote Sensing Symposium (IGARSS) (4422952), p. 937-940
Appears in Collections:Actas de congresos
Show full item record


checked on Aug 9, 2020


checked on Aug 9, 2020

Page view(s)

checked on Aug 8, 2020

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.