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(csei4)Development of a Parallel Computational Environment for Imaging Science


EMSL Project ID
2243

Abstract

Image processing is ubiquitous in todays visual electronic devices, from consumer and laboratory instruments (e.g., megapixel camera, desktop CCDs, DNA biochip array, EMSL cell observatory) to earth orbiting satellites. As imaging and computing technologies evolve and improve, new generations of sampling capabilities are being incorporated as embedded processors into smart devices and appliances. All of these devices generate a large amount of information that requires time sensitive processing and analysis. Information gained through image processing plays an important role in critical decision support, discoveries, and policy determinations. Due to algorithmic and hardware limitations, current image analysis methods and tools are not adequate to derive maximum information from imagery. New imaging theories, analysis methods, computational and algorithmic approaches, and integrated decision support tools are required to address current and anticipated future problems. Similarly, new computational implementations (software and hardware) are needed to provide increased computational power to address the ever-increasing amount of data that must be processed and analyzed. This project will concentrate on developing new parallel image processing algorithms for satellite imageries.

Project Details

Project type
Capability Research
Start Date
2001-04-17
End Date
2003-09-30
Status
Closed

Team

Principal Investigator

Donald Jones
Institution
Pacific Northwest National Laboratory

Team Members

Meredith Rawls
Institution
Hanford High School

Kenneth Perrine
Institution
Pacific Northwest National Laboratory

Gregg Petrie
Institution
Pacific Northwest National Laboratory

Brian Moon
Institution
Pacific Northwest National Laboratory

Elizabeth Jurrus
Institution
Pacific Northwest National Laboratory