Title :
Fractal-based characterization of ocean microwave radiance
Author_Institution :
Zel Technol., LLC, Fairfax, VA, USA
Abstract :
Fractal-based techniques are proposed in order to explore the complexity of high-resolution ocean microwave radiometric data. We formulate remote sensing problems and conditions when statistical self-similarity may occur in the field of ocean microwave radiance. It is suggested that the appearance of fractal-like microwave radiometric signals, images, and signatures is associated with nonstationarity and/or nonuniformity of the surface hydrodynamic phenomena. Our concept, methodology, numerical modeling, simulations, and selected results are presented.
Keywords :
fractals; geophysical fluid dynamics; geophysical signal processing; hydrodynamics; oceanographic techniques; radiometry; remote sensing; statistical analysis; underwater optics; fractal-based characterization; fractal-based techniques; ocean microwave radiance; ocean microwave radiometric data; remote sensing problem; statistical self-similarity; surface hydrodynamic phenomena; Fractals; Microwave imaging; Microwave radiometry; Microwave theory and techniques; Ocean temperature; Sea surface; Ocean; fractal; image; microwave; signal;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350852
