Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48678
Title: Methodology for the estimation of ocean surface currents using region matching and differential algorithms
Authors: Marcello, Javier 
Marqués, Ferran
Eugenio, Francisco 
UNESCO Clasification: 3308 Ingeniería y tecnología del medio ambiente
Keywords: Remote-Sensing Imagery
Infrared Images
Velocities
Motion Estimation
Optical Flow, et al
Issue Date: 2007
Journal: IEEE International Geoscience and Remote Sensing Symposium proceedings 
Conference: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2007)
Abstract: The ocean involves a complex set of physical, chemical, biological and geological processes, interacting each other to influence our climate and natural environment. One of the most important disciplines in oceanography is the study of the ocean dynamics. Particularly, ocean surface circulation can be recovered by the automated tracking of thermal features (coastal upwellings, filaments and eddies) in pairs of sequential satellite imagery. This paper presents a new methodology for the automatic estimation of ocean surface currents using AVHRR and MODIS imagery. The technique is based on a two-step process: precise structure detection followed by the structure tracking. The precise detection methodology is, as well, composed by two modules. The first one with the goal to obtain a coarse structure segmentation and the second achieving the maximum detail of the structure. The tracking methodology estimates motion fields using region matching and differential techniques with additional modules to guarantee the optimum performance. Twelve matching metrics and four differential algorithms were implemented and tested. Information from the previous structure segmentation stage is of fundamental importance to initialize the optimum motion estimation parameters and to generate the corresponding study area for each sequence. The proposed methodology, combining the segmentation and tracking steps, has been extensively tested and it has demonstrated an adequate performance in the estimation of flow fields in multitemporal and multisensorial sequences of the NW African coast.
URI: http://hdl.handle.net/10553/48678
ISBN: 1424412129
ISSN: 2153-6996
DOI: 10.1109/IGARSS.2007.4422938
Source: International Geoscience and Remote Sensing Symposium (IGARSS) (4422938), p. 882-885
Appears in Collections:Actas de congresos
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