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of 4
pro vyhledávání: '"Ross L. Hansen"'
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:
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
Autor:
David K. Melgaard, Joshua Love, Raymond H. Byrne, David B. Karelitz, Todd Alan Pitts, Ross L. Hansen
Publikováno v:
2015 IEEE Aerospace Conference.
Low signal-to-noise data processing algorithms for improved detection, tracking, discrimination and situational threat assessment are a key research challenge. As sensor technologies progress, the number of pixels will increase significantly. This wi
Autor:
Joshua Love, Dylan Z. Anderson, David K. Melgaard, Daniel A. Bender, Ross L. Hansen, David B. Karelitz, Prabal Nandy, Gary L. Whitlow, Joshua David Zollweg, Todd Alan Pitts, Raymond H. Byrne
Low signal-to-noise data processing algorithms for improved detection, tracking, discrimination and situational threat assessment are a key research challenge. As sensor technologies progress, the number of pixels will increase signi cantly. This wil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3979ad807fe79f7092e75730b383cb1b
https://doi.org/10.2172/1177093
https://doi.org/10.2172/1177093