Zobrazeno 1 - 10
of 682
pro vyhledávání: '"Motion Vectors"'
Publikováno v:
Automatika, Vol 65, Iss 3, Pp 1213-1227 (2024)
Medical image analysis presents a significant problem in the field of image registration. Recently, medical image registration has been recognized as a helpful tool for medical professionals. Current state-of-the-art approaches solely focus on source
Externí odkaz:
https://doaj.org/article/8976c0eb7e534e23a13829b9a7b2df17
Autor:
Mario Montopoli, Clizia Annella, Luca Baldini, Elisa Adirosi, Vincenzo Capozzi, Gianfranco Vulpiani
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11655-11669 (2024)
In-cloud motion vector retrieval is of great interest in several atmospheric science research fields. Short time extrapolation of radar data (precipitation nowcasting), assimilation into numerical weather prediction models, study of atmospheric circu
Externí odkaz:
https://doaj.org/article/537ed25146424ab5844b6c88468f36f5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7577-7591 (2024)
Typhoons' rapid variation makes effective hazard prevention difficult, which remains a challenging research topic requiring novel observation technology and analysis methodology. We developed an automatic methodology for mining the information on the
Externí odkaz:
https://doaj.org/article/4662cf5242854486995371e2adc3b3f8
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4561 (2024)
The ever-increasing capacity of numerical weather prediction (NWP) models requires accurate flow information at higher spatial and temporal resolutions. The atmospheric motion vectors (AMVs) extracted from the Advanced Geostationary Radiation Imager
Externí odkaz:
https://doaj.org/article/df2783648cb24793b624b8d4b9da7b21
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3522 (2024)
Meteorological satellite remote sensing is important for numerical weather forecasts, but its accuracy is affected by many things during observation and retrieval, showing that it can be improved. As a standard way to measure wind from space, atmosph
Externí odkaz:
https://doaj.org/article/72a9fb06350a4ecb865bb37d37cfea3d
Publikováno v:
Computers, Vol 13, Iss 8, p 204 (2024)
Digital video coding aims to reduce the bitrate and keep the integrity of visual presentation. High-Efficiency Video Coding (HEVC) can effectively compress video content to be suitable for delivery over various networks and platforms. Finding the opt
Externí odkaz:
https://doaj.org/article/8f629ab65625420190c885c73d2e28ab
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1562 (2024)
Atmospheric motion vectors, which can be used to infer wind speed and direction based on the trajectory of cloud movement, are instrumental in enhancing atmospheric wind-field insights, contributing notably to wind-field optimization and forecasting.
Externí odkaz:
https://doaj.org/article/d225683b4efa4d16b85675be2b524dec
Autor:
Russell L. Elsberry, Joel W. Feldmeier, Hway-Jen Chen, Christopher S. Velden, Hsiao-Chung Tsai
Publikováno v:
Atmosphere, Vol 15, Iss 3, p 353 (2024)
Four-dimensional COAMPS Dynamic Initialization (FCDI) analyses that include high-temporal- and high-spatial-resolution GOES-16 Atmospheric Motion Vector (AMV) datasets are utilized to understand and predict why pre-Bonnie (2022), designated as a Pote
Externí odkaz:
https://doaj.org/article/0244ee8bfd934b458d1a96b6b98a65b8
Akademický článek
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Publikováno v:
Atmosphere, Vol 14, Iss 11, p 1606 (2023)
Based on atmospheric motion vectors (AMVs) derived from the Fengyun-4 meteorological satellite (FY-4), in this paper, integrated multi-satellite retrievals for GPM precipitation and reanalysis datasets and the vertical distribution characteristics of
Externí odkaz:
https://doaj.org/article/976e0c73ce49408cb63f03e433c9b534