Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Shiming, Xiang"'
GFFNet: Global Feature Fusion Network for Semantic Segmentation of Large-Scale Remote Sensing Images
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4222-4234 (2024)
Semantic segmentation plays a pivotal role in interpreting high-resolution remote sensing images (RSIs), where contextual information is essential for achieving accurate segmentation. Despite the common practice of partitioning large RSIs into smalle
Externí odkaz:
https://doaj.org/article/091197d128214e13b27a76557896c789
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1299-1314 (2024)
Precipitation plays a significant role in global water and energy cycles, largely affecting many aspects of human life, such as transportation and agriculture. Recently, meteorologists have tried to predict precipitation with deep learning methods by
Externí odkaz:
https://doaj.org/article/55cfdf85e6a6461d913c61abc34c1890
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3642 (2024)
For some time, CNN was the de facto state-of-the-art method in remote sensing image change detection. Although transformer-based models have surpassed CNN-based models due to their larger receptive fields, CNNs still retain their value for their effi
Externí odkaz:
https://doaj.org/article/dc46022e19404bbdaf98f0bc8ad32044
Autor:
Guangliang Cheng, Yunmeng Huang, Xiangtai Li, Shuchang Lyu, Zhaoyang Xu, Hongbo Zhao, Qi Zhao, Shiming Xiang
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2355 (2024)
Change detection is an essential and widely utilized task in remote sensing that aims to detect and analyze changes occurring in the same geographical area over time, which has broad applications in urban development, agricultural surveys, and land c
Externí odkaz:
https://doaj.org/article/639baa3e9881455eb30042d1c4d3133e
Publikováno v:
Mathematics, Vol 12, Iss 5, p 765 (2024)
Semantic segmentation of remote sensing (RS) images is vital in various practical applications, including urban construction planning, natural disaster monitoring, and land resources investigation. However, RS images are captured by airplanes or sate
Externí odkaz:
https://doaj.org/article/20c0e228fee2434a9aeff720b6307e9e
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2293 (2023)
Semantic segmentation of remote-sensing (RS) images is one of the most fundamental tasks in the understanding of a remote-sensing scene. However, high-resolution RS images contain plentiful detailed information about ground objects, which scatter eve
Externí odkaz:
https://doaj.org/article/4b6072ea4a5545948d820ec7e688aa5e
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1827 (2023)
The advancements in image super-resolution technology have led to its widespread use in remote sensing applications. However, there is currently a lack of a general solution for the reconstruction of satellite images at arbitrary resolutions. The exi
Externí odkaz:
https://doaj.org/article/72c54eea48f1428985344bfb7bd2d71d
Publikováno v:
Entropy, Vol 25, Iss 2, p 331 (2023)
Topological Data Analysis (TDA) is an approach to analyzing the shape of data using techniques from algebraic topology. The staple of TDA is Persistent Homology (PH). Recent years have seen a trend of combining PH and Graph Neural Networks (GNNs) in
Externí odkaz:
https://doaj.org/article/6493c89694774327bcbbe39dddcbd39f
Publikováno v:
Neural Networks. 161:213-227
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3b29b911f1b191ce2eaa7bec0808307
https://doi.org/10.1016/j.neunet.2023.01.028
https://doi.org/10.1016/j.neunet.2023.01.028
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 24:2827-2841
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cccbde85fbec7acf1d0ae1e809eae04
https://doi.org/10.1109/tits.2022.3225553
https://doi.org/10.1109/tits.2022.3225553