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

Volume

2

fYear

2006

fDate

6-9 Aug. 2006

Firstpage

606

Lastpage

609

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on

Conference_Location

San Juan

ISSN

1548-3746

Print_ISBN

1-4244-0172-0

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2006.381803

Filename

4267427