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Title: Remote classification from an airborne camera using image super-resolution

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Journal Article: Publisher's Accepted Manuscript
Journal Name:
Journal of the Optical Society of America A
Additional Journal Information:
Journal Volume: 34; Journal Issue: 2; Related Information: CHORUS Timestamp: 2017-01-06 13:26:32; Journal ID: ISSN 1084-7529
Optical Society of America
Country of Publication:
United States

Citation Formats

Woods, Matthew, and Katsaggelos, Aggelos. Remote classification from an airborne camera using image super-resolution. United States: N. p., 2017. Web. doi:10.1364/JOSAA.34.000203.
Woods, Matthew, & Katsaggelos, Aggelos. Remote classification from an airborne camera using image super-resolution. United States. doi:10.1364/JOSAA.34.000203.
Woods, Matthew, and Katsaggelos, Aggelos. Tue . "Remote classification from an airborne camera using image super-resolution". United States. doi:10.1364/JOSAA.34.000203.
title = {Remote classification from an airborne camera using image super-resolution},
author = {Woods, Matthew and Katsaggelos, Aggelos},
abstractNote = {},
doi = {10.1364/JOSAA.34.000203},
journal = {Journal of the Optical Society of America A},
number = 2,
volume = 34,
place = {United States},
year = {Tue Jan 10 00:00:00 EST 2017},
month = {Tue Jan 10 00:00:00 EST 2017}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1364/JOSAA.34.000203

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  • Many attempts to observe changes in terrestrial systems over time would be significantly enhanced if it were possible to improve the accuracy of classifications of low-resolution historic satellite data. In an effort to examine improving the accuracy of historic satellite image classification by combining satellite and air photo data, two experiments were undertaken in which low-resolution multispectral data and high-resolution panchromatic data were combined and then classified using the ECHO spectral-spatial image classification algorithm and the Maximum Likelihood technique. The multispectral data consisted of 6 multispectral channels (30-meter pixel resolution) from Landsat 7. These data were augmented with panchromatic datamore » (15m pixel resolution) from Landsat 7 in the first experiment, and with a mosaic of digital aerial photography (1m pixel resolution) in the second. The addition of the Landsat 7 panchromatic data provided a significant improvement in the accuracy of classifications made using the ECHO algorithm. Although the inclusion of aerial photography provided an improvement in accuracy, this improvement was only statistically significant at a 40-60% level. These results suggest that once error levels associated with combining aerial photography and multispectral satellite data are reduced, this approach has the potential to significantly enhance the precision and accuracy of classifications made using historic remotely sensed data, as a way to extend the time range of efforts to track temporal changes in terrestrial systems.« less
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  • (B204)A new, high-resolution x-ray microscope with a large grazing angle has been developed, characterized, and fielded at the Laboratory for Laser Energetics. It increases the sensitivity and spatial resolution in planar direct-drive hydrodynamic stability experiments, relevant to inertial confinement fusion (ICF) research. It has been designed to work as the optical front end of the PJX-a high-current, high-dynamic-range x-ray streak camera. Optical design optimization, results from numerical ray tracing, mirror-coating choice, and characterization have been described previously [O. V. Gotchev, et al., Rev. Sci. Instrum. 74, 2178 (2003)]. This work highlights the optics' unique mechanical design and flexibility and considersmore » certain applications that benefit from it. Characterization of the microscope's resolution in terms of its modulation transfer function (MTF) over the field of view is shown. Recent results from hydrodynamic stability experiments, diagnosed with the optic and the PJX, are provided to confirm the microscope's advantages as a high-resolution, high-throughput x-ray optical front end for streaked imaging.« less