Zobrazeno 1 - 10
of 113
pro vyhledávání: '"geophysics computing"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4772-4781 (2022)
In this study, an efficient and accurate staggered-grid finite-difference time-domain method to solve the two-dimensional (2-D) first-order stress–velocity elastic-wave equation is proposed. In the conventional implementation of the staggered-grid
Externí odkaz:
https://doaj.org/article/1d5d4928541040f297be46a1d15c5766
Publikováno v:
IET Cyber-systems and Robotics, Vol 3, Iss 3, Pp 265-277 (2021)
Abstract Flood prevention and disaster mitigation have a great impact on people's lives and properties, and so it is urgent to realise high‐accuracy inflow predictions for flood early warning. To this end, a prediction model based on a machine lear
Externí odkaz:
https://doaj.org/article/08210232143c494298080ca1fe6059d0
Autor:
Le Liang, Guoli Wang
Publikováno v:
IET Image Processing, Vol 15, Iss 8, Pp 1712-1721 (2021)
Abstract Scene classification for remote sensing is a popular topic, and many recent convolutional neural networks (CNNs)‐based methods have shown the great model capacity and learning ability of highly discriminative features. Given a large number
Externí odkaz:
https://doaj.org/article/79ae8c41a1364242a66f68cef1c82723
Publikováno v:
IET Image Processing, Vol 15, Iss 5, Pp 1179-1188 (2021)
Abstract Many very deep neural networks are proposed to obtain accurate super‐resolution reconstruction of remote sensing images. However, the deeper the network for image SR is, the more difficult it is to train. The low‐resolution inputs and fe
Externí odkaz:
https://doaj.org/article/8d9bb1ecd8d241c58441d14f2ea12b8f
Publikováno v:
IEEE Access, Vol 9, Pp 11585-11597 (2021)
Random noise attenuation has always been an indispensable step in the seismic exploration workflow. The quality of the results directly affects the results of subsequent inversion and migration imaging. This paper proposes a cycle-GAN denoising frame
Externí odkaz:
https://doaj.org/article/27b7e655c89c48e1b530cfa5db4eaac8
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 47-56 (2021)
Abstract The object identification within an image captured during rough weather conditions (such as haze, fog) poses difficulty due to the reduction of an image. The rough weather conditions lead not only to the variation of the image's visual effec
Externí odkaz:
https://doaj.org/article/4beb0611ad43402d9fb6e032c8e9f143
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
CAAI Transactions on Intelligence Technology (2019)
This study describes an application of hybrid modelling for an atmospheric variable in the Krško basin. The hybrid model is a combination of a physics-based and data-driven model and has some properties of both modelling approaches. In the authors
Externí odkaz:
https://doaj.org/article/28e0ff71274945669404dba8c21424c2
Autor:
Dengchao Feng, Aowei Li
Publikováno v:
The Journal of Engineering (2019)
Low altitude airspace mobile weather service is based on the short service of meteorological services in China's rapidly developing low altitude navigation industry. Through the analysis of the weather information data acquisition status and the anal
Externí odkaz:
https://doaj.org/article/d8f6831f5e1241858c9a4808c49f5ebc
Publikováno v:
CAAI Transactions on Intelligence Technology (2019)
It is a basic task to measure the similarity between two uncertain concepts in many real-life artificial intelligence applications, such as image retrieval, collaborative filtering, public opinion guidance, and so on. As an important cognitive comput
Externí odkaz:
https://doaj.org/article/e1f08e68ab4f426d9f905aa50b78d251