Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Runfan Xia"'
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1908 (2022)
As an active microwave device, synthetic aperture radar (SAR) uses the backscatter of objects for imaging. SAR image ship targets are characterized by unclear contour information, a complex background and strong scattering. Existing deep learning det
Externí odkaz:
https://doaj.org/article/625235c7b3ce4d2599b72edd146d7af4
Autor:
Runfan Xia, Jie Chen, Zhixiang Huang, Huiyao Wan, Bocai Wu, Long Sun, Baidong Yao, Haibing Xiang, Mengdao Xing
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1488 (2022)
Synthetic-aperture radar (SAR) image target detection is widely used in military, civilian and other fields. However, existing detection methods have low accuracy due to the limitations presented by the strong scattering of SAR image targets, unclear
Externí odkaz:
https://doaj.org/article/e4d15d44fb344bdeb3d8a7e790fd3622
Autor:
Huiyao Wan, Jie Chen, Zhixiang Huang, RunFan Xia, BoCai Wu, Long Sun, Baidong Yao, Xiaoping Liu, Mengdao Xing
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d68768c2cc9e4dbbecf49a0d6f06dbe3
https://doi.org/10.1109/tgrs.2021.3137817
https://doi.org/10.1109/tgrs.2021.3137817