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pro vyhledávání: '"Katherine M. Simonson"'
Autor:
Ross L. Hansen, Jacek Skryzalin, Thomas E. LaBruyere, R. Derek West, Katherine M. Simonson, Mark Hilary Van Benthem
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:4467-4485
In practical applications of automated terrain classification from high-resolution polarimetric synthetic aperture radar (PolSAR) imagery, different terrain types may inherently contain a high level of internal variability, as when a broadly defined
Autor:
Travis L. Bauer, Katherine M. Simonson, Robert Jeffers, Carl D. Laird, Patrick D. Finley, Monear Makvandi, Alexander V. Outkin, Cosmin Safta, Walter E. Beyeler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42b46905fc01b0793ad228d4a8ae6f0d
https://doi.org/10.2172/1661021
https://doi.org/10.2172/1661021
Autor:
Mark Hilary Van Benthem, Thomas E. LaBruyere, Katherine M. Simonson, Ross L. Hansen, R. Derek West
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 10:199-210
A new method is introduced for combining information from multiple sources to support one-class classification. The contributing sources may represent measurements taken by different sensors of the same physical entity, repeated measurements by a sin
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:2460-2469
In past research, two-pass repeat-geometry synthetic aperture radar (SAR) coherent change detection (CCD) predominantly utilized the sample degree of coherence as a measure of the temporal change occurring between two complex-valued image collects. P
Publikováno v:
ACSSC
In an effort to enhance image classification of terrain features in fully polarimetric SAR images, this paper explores the utility of combining the results of two state-of-the-art decompositions along with a semi-supervised classification algorithm t
Autor:
Bruce Merle, Robert Reynolds, Charles Sadowski, Annette Bergman, Francis J. Corbett, Robert A. Hummel, Douglas Hugo, John M. Irvine, S. A. Morrison, Katherine M. Simonson, Donna Meredith, Thomas J. Wild, John C. Mossing, Louis Otto, Lori A. Westerkamp, Bruce J. Schachter, David A. Castanon, Randy K. Avent, Arthur Bruckheim, Clarence P. Walters, Gene Smit
Publikováno v:
SPIE Proceedings.
In November of 2000, the Deputy Under Secretary of Defense for Science and Technology Sensor Systems (DUSD (S&T/SS)) chartered the ATR Working Group (ATRWG) to develop guidelines for sanctioned Problem Sets. Such Problem Sets are intended for develop
Publikováno v:
SPIE Proceedings.
In this paper, a statistical technique for multi-sensor data fusion is applied to countermine problems. The fusion method has previously been shown to be a powerful tool in SAR/ATR applications. An earlier study, using data from the separate x, y and
Conference
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