Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shuowei Liu"'
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5320 (2023)
Recently, deep unfolding networks have been widely used in direction of arrival (DOA) estimation because of their improved estimation accuracy and reduced computational cost. However, few have considered the existence of a nested array (NA) with off-
Externí odkaz:
https://doaj.org/article/69c0c1289ddf478bae414bdf345f9fa4
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5168 (2022)
Adversarial examples (AEs) bring increasing concern on the security of deep-learning-based synthetic aperture radar (SAR) target recognition systems. SAR AEs with perturbation constrained to the vicinity of the target have been recently in the spotli
Externí odkaz:
https://doaj.org/article/e60dbf159b2f4263bbdd9d787c917a20
Publikováno v:
Landslides; Aug2024, Vol. 21 Issue 8, p1899-1913, 15p
Publikováno v:
2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST).
Publikováno v:
2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).
Publikováno v:
2022 7th International Conference on Communication, Image and Signal Processing (CCISP).
Publikováno v:
Pattern Recognition Letters. 146:23-30
Current research of video steganalysis is mainly oriented to H.264 or even earlier formats. As the H.265/HEVC standard is becoming more and more popular, there have been steganographic methods specifically designed for HEVC videos. Previous steganaly
Publikováno v:
2022 7th International Conference on Signal and Image Processing (ICSIP).
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
IEEE Signal Processing Letters. 28:1843-1847
Current video steganography operates with either the decoded frame images or the compression coding parameters, which could cause quality degradation of the reconstructed frames. In this letter, by exploiting the advanced motion vector prediction (AM