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pro vyhledávání: '"Matthew J. Inkawhich"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3954-3966 (2021)
Training deep learning-based synthetic aperture radar automatic target recognition (SAR-ATR) systems for use in an “open-world” operating environment has, thus far proven difficult. Most SAR-ATR systems are designed to achieve maximum accuracy fo
Externí odkaz:
https://doaj.org/article/faba2eabe41f4dcc98ee246b22711a54
Autor:
Nathan Inkawhich, Matthew J. Inkawhich, Eric K. Davis, Uttam K. Majumder, Erin Tripp, Chris Capraro, Yiran Chen
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2942-2955 (2021)
Obtaining measured synthetic aperture radar (SAR) data for training automatic target recognition (ATR) models can be too expensive (in terms of time and money) and complex of a process in many situations. In response, researchers have developed metho
Externí odkaz:
https://doaj.org/article/356c7363d8704a60a64d03178bb4743b