Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems

Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems

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 foun...

Full description

Bibliographic Details
Published:
Online Access:http://hdl.handle.net/2047/d10009115
id ndltd-NEU--neu-376190
record_format oai_dc
spelling ndltd-NEU--neu-3761902016-04-25T16:15:30ZUtilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral EcosystemsThis 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.http://hdl.handle.net/2047/d10009115
collection NDLTD
sources NDLTD
description 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.
title Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems
spellingShingle Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems
title_short Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems
title_full Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems
title_fullStr Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems
title_full_unstemmed Utilizing High-Performance Computing to Investigate Performance and Sensitivity of an Inversion Model for Hyperspectral Remote Sensing of Shallow Coral Ecosystems
title_sort utilizing high-performance computing to investigate performance and sensitivity of an inversion model for hyperspectral remote sensing of shallow coral ecosystems
publishDate
url http://hdl.handle.net/2047/d10009115
_version_ 1718235969250918400

Similar Items