Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Ziyin Wu"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Multibeam water column images (WCI) play a crucial role in the detection and recognition of underwater targets. However, WCI is not a complete image of underwater space due to the gaps between beams inherent in multibeam systems. In this study, we de
Externí odkaz:
https://doaj.org/article/e2c381df487c48159eb898a3890e4450
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract The near-trench coseismic rupture behaviour of the 2011 Tohoku–Oki earthquake remains poorly understood due to the scarcity of near-field observations. Differential bathymetry offers a unique approach to studying offshore coseismic seafloo
Externí odkaz:
https://doaj.org/article/e0b902b8055e41d2af9549a07267896a
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 2, p 333 (2024)
Polymetallic nodules are spherical or ellipsoidal mineral aggregates formed naturally in deep-sea environments. They contain a variety of metallic elements and are important solid mineral resources on the seabed. How best to quickly and accurately id
Externí odkaz:
https://doaj.org/article/6aa89392ead8474fb28ff036a89bf648
Autor:
Hongyang Wan, Xiaowen Luo, Ziyin Wu, Xiaoming Qin, Xiaolun Chen, Bin Li, Jihong Shang, Dineng Zhao
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 4014 (2023)
Sea ice is a significant factor in influencing environmental change on Earth. Monitoring sea ice is of major importance, and one of the main objectives of this monitoring is sea ice classification. Currently, synthetic aperture radar (SAR) data are p
Externí odkaz:
https://doaj.org/article/161cfdf79eee4d648379ad443f25b2f0
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1257 (2023)
Shallow bathymetry is important for ocean exploration, and the development of high-precision bathymetry inversion methods, especially for shallow waters with poor quality, is a major research aim. Synthetic aperture radar (SAR) image data benefit fro
Externí odkaz:
https://doaj.org/article/1b112ad70a1c4f4d93b6d261fa2fa5b9
Autor:
Dineng Zhao, Ziyin Wu, Jieqiong Zhou, Kai Zhang, Xiaowen Luo, Mingwei Wang, Yang Liu, Chao Zhu
Publikováno v:
IEEE Access, Vol 9, Pp 14516-14527 (2021)
Multi-beam echo sounders (MBESs) are characterized by the high resolution and high density of the sounding data. The processing of MBES bathymetry data is of special interest currently in marine surveying. The Combined Uncertainty and Bathymetry Esti
Externí odkaz:
https://doaj.org/article/642272f0f7ba48d4abed0b9179661876
Publikováno v:
IEEE Access, Vol 9, Pp 29416-29428 (2021)
Acoustic seabed classification (ASC) is a fast and large-scale seabed sediment survey method. In particular, combining it with an automated classifier can theoretically achieve fast automatic seabed sediment classification. However, owing to the cost
Externí odkaz:
https://doaj.org/article/f0cb175653da41fab10460c7b6849582
Publikováno v:
IEEE Access, Vol 8, Pp 47407-47418 (2020)
Sidescan sonars are increasingly used in underwater search and rescue for drowning victims, wrecks and airplanes. Automatic object classification or detection methods can help a lot in case of long searches, where sonar operators may feel exhausted a
Externí odkaz:
https://doaj.org/article/0bbcab5e8fa548b2a2dd701bd4ea1163
Autor:
Xiaolun Chen, Xiaowen Luo, Ziyin Wu, Xiaoming Qin, Jihong Shang, Bin Li, Mingwei Wang, Hongyang Wan
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 5939 (2022)
Only approximately 20% of the global seafloor topography has been finely modeled. The rest either lacks data or its data are not accurate enough to meet practical requirements. On the one hand, the satellite altimeter has the advantages of large-scal
Externí odkaz:
https://doaj.org/article/9b1080e487c04c619285fc69b38eb4d2
Autor:
Yang Liu, Ziyin Wu, Dineng Zhao, Jieqiong Zhou, Jihong Shang, Mingwei Wang, Chao Zhu, Xiaowen Luo
Publikováno v:
IEEE Access, Vol 7, Pp 142441-142450 (2019)
Access to reliable and accurate bathymetric data is fundamental to many marine activities. This paper proposes a merge-normalization (MN) method that is suitable for multisource bathymetric data fusion in deep ocean areas, to solve the problem of dif
Externí odkaz:
https://doaj.org/article/2ac2df8f6f214247b25bf2fb6909f38a