Paper
25 March 2008 A secure workflow-based automated research manager
Jonathan K. Riek, Brian D. Wemett, Dale A. Keefer, Robert J. Weetman, Anthony F. Mazzola, Robert A. Leathers, Trijntje V. Downes
Author Affiliations +
Abstract
Designing and testing algorithms to process hyperspectral imagery is a difficult process due to the sheer volume of the data that needs to be analyzed. It is not only time-consuming and memory-intensive, but also consumes a great amount of disk space and is difficult to track the results. We present a system that addresses these issues by storing all information in a centralized database, routing the processing of the data to compute servers, and presenting an intuitive interface for running experiments on multiple images with varying parameters.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan K. Riek, Brian D. Wemett, Dale A. Keefer, Robert J. Weetman, Anthony F. Mazzola, Robert A. Leathers, and Trijntje V. Downes "A secure workflow-based automated research manager", Proc. SPIE 6978, Visual Information Processing XVII, 69780U (25 March 2008); https://doi.org/10.1117/12.777157
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KEYWORDS
Image processing

Databases

Algorithm development

Detection and tracking algorithms

Image segmentation

Hyperspectral imaging

Computing systems

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