Title :
Parallel Implementation of an Inversion Model for Hyperspectral Remote Sensing
Author :
Gerardino, Carolina ; Rivera, Yamil ; Goodman, James ; Rivera, Wilson
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Puerto Rico at Mayaguez, Mayaguez
Abstract :
This paper describes the implementation of a semi-analytical inversion model within a parallel processing framework. The greater processing speed obtained with this parallel implementation is demonstrated. A reduction of 97% in the execution time is achieved. This approach enables real time processing capabilities and more complex analysis to simultaneously classify water properties, bathymetry and benthic composition associated with coral reefs and other shallow coastal subsurface environments.
Keywords :
bathymetry; geophysical signal processing; image processing; oceanographic techniques; parallel processing; remote sensing; bathymetry; benthic composition; coral reefs; hyperspectral remote sensing; parallel implementation; semianalytical inversion model implementation; shallow coastal subsurface environments; time processing capabilities; water properties; Concurrent computing; Hyperspectral imaging; Hyperspectral sensors; Parallel processing; Reflectivity; Remote monitoring; Remote sensing; Sea measurements; Sea surface; Water;
Conference_Titel :
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location :
San Juan
Print_ISBN :
1-4244-0172-0
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2006.381803
