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Proceedings Paper

Developing a portable GPU library for hyperspectral image processing
Author(s): Gabriel J. Pérez-Irizarry; Francisco De La Cruz-Sanchez; Brian A. Landrón-Rivera; Nayda G. Santiago; Miguel Velez-Reyes
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Paper Abstract

The increasing volume of data produced by hyperspectral image sensors have forced researches and developers to seek out new and more ecient ways of analyzing the data as quick as possible. Medical, scientic, and military applications present performance requirements for tools that perform operations on hyperspectral sensor data. By providing a hyperspectral image analysis library, we aim to accelerate hyperspectral image application development. Development of a cross-platform library, Libdect, with GPU support for hyperspectral image analysis is presented. Coupling library development with ecient hyperspectral algorithms escalates into a signicant time invest- ment in many projects or prototypes. Provided a solution to these issues, developers can implement hyperspectral image analysis applications in less time. Developers will not be focused on implementing target detection code and potential issues related to platform or GPU architecture dierences. Libdect's development team counts with previously implemented detection algorithms. By utilizing proven tools, such as CMake and CTest, to develop Libdect's infrastructure, we were able to develop and test a prototype library that provides target detection code with GPU support on Linux platforms. As a whole, Libdect is an early prototype of an open and documented example of Software Engineering practices and tools. They are put together in an eort to increase developer productivity and encourage new developers into the eld of hyperspectral image application development.

Paper Details

Date Published: 24 May 2012
PDF: 11 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 839017 (24 May 2012); doi: 10.1117/12.920499
Show Author Affiliations
Gabriel J. Pérez-Irizarry, Univ. de Puerto Rico Mayagüez (United States)
Francisco De La Cruz-Sanchez, Univ. de Puerto Rico Mayagüez (United States)
Brian A. Landrón-Rivera, Univ. de Puerto Rico Mayagüez (United States)
Nayda G. Santiago, Univ. de Puerto Rico Mayagüez (United States)
Miguel Velez-Reyes, Univ. de Puerto Rico Mayagüez (United States)


Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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