Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48680
Título: Automatic tool for the precise detection of upwelling and filaments in remote sensing imagery
Autores/as: Marcello, Javier 
Marqués, Ferran
Eugenio González, Francisco 
Clasificación UNESCO: 250616 Teledetección (Geología)
Palabras clave: Sea-Surface Temperature
Thresholding Techniques
Satellite Imagery
Segmentation
Performance, et al.
Fecha de publicación: 2005
Editor/a: 0196-2892
Publicación seriada: IEEE Transactions on Geoscience and Remote Sensing 
Resumen: The upward movement of cool and nutrient-rich waters toward the surface leads to horizontal alterations in the distribution of the physical, chemical, and biological properties. Remote sensing is being extensively applied to detect such coastal upwellings; however, the enormous amount of data daily generated obliges to develop automatic detection and prediction tools. The problem of identifying oceanographic mesoscale structures has been studied using a variety of image processing techniques; however, the outstanding difficulties encountered in the traditional approaches are the presence of noise, the fact that gradients are weak, the strong morphological variation, and the absence of a valid analytical model for the structures. In this context, the proposed automatic upwelling extraction methodology overcomes the preceding detection inconveniences and achieves a highly accurate structure extraction. This automatic technique is based on a coarse-segmentation methodology followed by a fine-detail growing process. The complete system has been validated over a database of 378 multisensorial images of years 2000 to 2003, and it has been applied to the detection and feature extraction of coastal upwellings and filaments in three areas with different characteristics, such as the Canary Islands, Cape Ghir, and the Alboran Sea, using imagery from the Advanced Very High Resolution Radiometer 2 and 3 sensors, the Sea-viewing Wide Field-of-view Sensor, and the Moderate Resolution Imaging Spectroradiometer sensor, demonstrating its effectiveness and robustness in a wide variety of climate conditions.
URI: http://hdl.handle.net/10553/48680
ISSN: 0196-2892
DOI: 10.1109/TGRS.2005.848409
Fuente: IEEE Transactions on Geoscience and Remote Sensing[ISSN 0196-2892],v. 43, p. 1605-1615
Colección:Artículos
Vista completa

Citas SCOPUSTM   

39
actualizado el 24-mar-2024

Citas de WEB OF SCIENCETM
Citations

34
actualizado el 25-feb-2024

Visitas

34
actualizado el 12-ago-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.