Abstract
This poster describes the implementation of a semi-analytical inversion model within a parallel processing framework. Preliminary results of the implementation in a C++/OOL, C++/MPI and the IDL/ENVI environment using a synthetic vector are presented. The C++/OOL implementation provides both the foundation for assessing real-time processing capabilities as well as the computation power necessary for addressing complex optimization and sensitivity questions.
Keywords
Coral Ecosystems, Hyperspectral Remote Sensing, C /OOL, IDL/ENVI environment
Subject Categories
Remote sensing
Disciplines
Engineering
Publisher
Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)
Publication Date
2007
Rights Holder
Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)
Permanent URL
Recommended Citation
Gerardino, Carolina; Goodman, James; and Rivera, Wilson, "Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems" (2007). Research Thrust R3 Presentations. Paper 18. http://hdl.handle.net/2047/d10009115
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Notes
Poster presented at the 2007 Thrust R3A Parallel Hardware Implementation for Fast Subsurface Detection Conference