Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Peishuang Ni"'
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 33 (2022)
The inherent unknown deformations of inverse synthetic aperture radar (ISAR) images, such as translation, scaling, and rotation, pose great challenges to space target classification. To achieve high-precision classification for ISAR images, a deforma
Externí odkaz:
https://doaj.org/article/ff944923b6904466a1e94b26e4333c29
Publikováno v:
Sensors, Vol 20, Iss 8, p 2316 (2020)
Foreign object debris (FOD) detection can be considered a kind of classification that distinguishes the measured signal as either containing FOD targets or only corresponding to ground clutter. In this paper, we propose a support vector domain descri
Externí odkaz:
https://doaj.org/article/37934a77a21646a09d5c431dfd5ace9d
Publikováno v:
2022 3rd China International SAR Symposium (CISS).
Publikováno v:
IAENG International Journal of Computer Science; Mar2021, Vol. 48 Issue 1, p80-85, 6p
Autor:
Ni, Peishuang1 (AUTHOR), Liu, Yanyang2 (AUTHOR), Pei, Hao1 (AUTHOR), Du, Haoze1 (AUTHOR), Li, Haolin3 (AUTHOR), Xu, Gang1 (AUTHOR) gangxu@seu.edu.cn
Publikováno v:
Remote Sensing. Jan2023, Vol. 15 Issue 1, p33. 22p.
Autor:
Ni, Peishuang1 (AUTHOR), Miao, Chen1 (AUTHOR) miaochen78@163.com, Tang, Hui1 (AUTHOR), Jiang, Mengjie1 (AUTHOR), Wu, Wen1 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2020, Vol. 20 Issue 8, p2316. 1p.