Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Yanxin Ma"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1766 (2024)
Due to the complexity of underwater environments, underwater target recognition based on radiated noise has always been challenging. This paper proposes a multi-scale frequency-adaptive network for underwater target recognition. Based on the differen
Externí odkaz:
https://doaj.org/article/dafbf77e89a7428480692fcc5eeef47c
Publikováno v:
IET Computer Vision, Vol 16, Iss 7, Pp 619-631 (2022)
Abstract Point cloud completion aims to reconstruct detailed structures from partial observations. However, previous methods often suffered from inaccurate neighbourhood feature extraction and rough reconstruction of complex structures, which is diff
Externí odkaz:
https://doaj.org/article/29ee2719532d45caad6d22f4444c30dc
Autor:
Pingzheng Li, Yanqun Wu, Wei Guo, Chunyan Cao, Yanxin Ma, Lifan Li, Hongze Leng, Aolong Zhou, Junqiang Song
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 11, p 2117 (2023)
Based on the interference spectrogram in the element–frequency domain using the data measured by the horizontal linear array, the source range can be estimated through the striation-based beamforming (SBF) method and its variants. Estimation of the
Externí odkaz:
https://doaj.org/article/b0317ddae328412296e2e367c3545b15
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 8, p 1550 (2023)
The element–frequency acoustic intensity of a horizontal line array with a sufficient aperture exhibits interference striation patterns, which can be used for source range estimation without prior environmental information. Under multisource scenar
Externí odkaz:
https://doaj.org/article/76e22712c2014094a92bf0fa23b5cd95
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 4015 (2023)
Extensive research on deep neural networks for LiDAR point clouds has contributed inexhaustible momentum to the development of computer 3D vision applications. However, storage and energy consumption have always been a challenge for deploying these d
Externí odkaz:
https://doaj.org/article/b3208ef221fc4b628f93cc2bffc49a65
Publikováno v:
Leida xuebao, Vol 10, Iss 4, Pp 656-664 (2021)
With the advent of the aging population, fall detection has gradually become a research hotspot. Aiming at the detection of human fall using millimeter-wave radar, a Range-Doppler heat map Sequence detection Network (RDSNet) model that combines the c
Externí odkaz:
https://doaj.org/article/782c1e57ba364d6f841618e3fd4972cf
Publikováno v:
Entropy, Vol 25, Iss 3, p 421 (2023)
Monocular depth estimation techniques are used to recover the distance from the target to the camera plane in an image scene. However, there are still several problems, such as insufficient estimation accuracy, the inaccurate localization of details,
Externí odkaz:
https://doaj.org/article/c9fdd0e32ab342d88a7adf3e25177fdf
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4103 (2022)
A balanced dataset is generally beneficial to underwater acoustic target recognition. However, the imbalanced class distribution is always meted out in a real scene. To address this, a weighted cross entropy loss function based on trigonometric funct
Externí odkaz:
https://doaj.org/article/64c5eab6ef0d4190a9b7f6560eb06ab7
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3617 (2022)
Completing point clouds from partial terrestrial laser scannings (TLS) is a fundamental step for many 3D visual applications, such as remote sensing, digital city and autonomous driving. However, existing methods mainly followed an ordinary auto-enco
Externí odkaz:
https://doaj.org/article/0fbb5cdc54f94a79a335ff295f79db22
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1549 (2022)
Golay complementary waveforms are, by definition, able to generate narrow pulses with low sidelobes via coherent signal processing. However, while an ideal impulse can be obtained for target returns at zero-Doppler, significant sidelobes are observed
Externí odkaz:
https://doaj.org/article/d7e19c46ff6b4eeb868c4b9b9095f4c0