Title :
Multisensor data fusion for advanced ocean remote sensing studies
Author_Institution :
Zel Technol., LLC, Fairfax, VA, USA
Abstract :
Multisensor and multispectral (MS) methods of data fusion related especially to high-resolution or super-resolution remote sensing observations of the oceans are considered. We refer to this topic as ocean remote sensing data fusion (ODF). This is a challenging task which includes analysis, physics-based modeling, simulation, and prediction of MS data. We believe that by using ODF, it will be possible to extract and recognize relevant remote sensing information associated with different oceanic processes. Possible ODF concepts, methodology, and numerical examples are presented and discussed.
Keywords :
oceanographic techniques; oceanography; remote sensing; sensor fusion; spectral analysis; MS data prediction; ODF; advanced ocean remote sensing studies; high-resolution remote sensing observations; multisensor data fusion; multisensor method; multispectral method; ocean remote sensing data fusion; oceanic process; physics-based modeling; remote sensing information extraction; simulation; superresolution remote sensing observations; Data integration; Microwave imaging; Microwave radiometry; Ocean temperature; Remote sensing; Sea surface; Remote sensing; data fusion; image processing; microwave; ocean;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723102
