Invention of the Year

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2002 Award Winners

Government Award Winner

Award Title:

Computer Implemented Empirical Mode Decomposition Method, Apparatus, and Article of Manufacture

Lead NASA Center:

Goddard Space Flight Center (GSFC)

Award Category:

Government

Case Number:

GSC-13817

Summary:

Empirical Mode Decomposition, also known as the Hilbert Huang Transformation (HHT) is the winner of the 2002 NASA Government Invention of the Year. The HHT method has proven its versatility and value at NASA and throughout the Government. The HHT is currently used by the Laboratory for Hydrospheric Sciences at NASA GSFC to analyze sea surface temperature data collected by the NASA Nimbus 7 Scanning Multichannel Microwave Radiometer. The HHT has been used on images collected by the National Oceanographic and Atmosphere Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) sensor. There are known artifacts in the data collected due to a drift of one to two hours in local overpass time of the satellite. The HHT is being used in the data post-processing mode to correct the data. HHT has also proven successful in connecting environmental changes to El Nino phenomena. Another successful application of HHT is the fusion of data between different sensors, in particular, fusion between data from Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project and AVHRR. The Laboratory for Terrestrial Physics at Goddard is also applying the HHT to numerical simulations in fluid dynamics. The time history of a given point in a flow is a one dimensional data set, which the HHT is being used to analyze. Since fluid dynamics is a nonlinear process, this transform offers insight beyond that possible with standard Fourier methods. It has also been used for voice identification in law enforcement; e.g., for cell phone intercepts.


Commercial Award Winner

Award Title:

Video Image Stabilization and Registration (VISAR)

Lead NASA Center:

Marshall Space Flight Center (MSFC)

Award Category:

Commercial

Case Number:

MFS-31243-1

Summary:

VISAR does what other image stabilization processes cannot do: it corrects for changes in orientation and size. In its current usage VISAR takes just seconds to do what Hathaway and Meyer took days to do before its invention, and it does a better job. This capability is critical for many video applications that arise in aerospace, commercial, consumer, and government operations. It has played a critical role in specific applications within solar physics research, forensics, and medical research. Without VISAR, the usefulness of the video data in these investigations would have been severely compromised. VISAR is a vital tool in the Columbia investigation.