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NASA provides a wide variety of Earth-observing satellite data products to a diverse community. These data are annotated with quality information in a variety of ways, with the result that many users struggle to understand how to properly account for quality when dealing with satellite data. To address this issue, a Data Quality Screening Service (DQSS) is(More)
The past decade has seen a rapid increase in availability and usage of near real-time data from satellite sensors. Applications have demonstrated the utility of timely data in a number of areas ranging from numerical weather prediction and forecasting, to monitoring of natural hazards, disaster relief, agriculture and homeland security. As applications(More)
This paper proposes a reduction-segmentation scheme for radio-astronomical cubes. In order to avoid the curse of dimen-sionality phenomenon, a reduction technique is proposed as preprocessing step before classification. On each site of the image a spectrum is observed, exhibiting few spectral rays, modeled as a weighted mixture of selected Gaussian(More)
A new method for the multiband segmentation of a spectroscopic line data cube is presented. This method is intended to help astronomers to handle complex spectroscopic line data cubes where the inspection of the channel and moment maps is difficult. Due to the Hughes phenomenon, the number of input images for the segmentation process is limited. Therefore,(More)
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