Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jiangong Xu"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1326-1347 (2024)
Cloud coverage has become a significant factor affecting the availability of remote-sensing images in many applications. To mitigate the adverse impact of cloud coverage and recover ground information obscured by clouds, this paper presents a curvatu
Externí odkaz:
https://doaj.org/article/53f72b532a9e47dc93abffa8564ffb34
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103909- (2024)
Traditional CNNs struggle with SAR and optical image fusion cloud removal due to SAR image noise, feature space differences and random cloud distribution. This often leads to blurred results with less texture information. This paper proposes a synerg
Externí odkaz:
https://doaj.org/article/755327f77ed24c029548ab53b001a89d
Autor:
Jiangong XU
Publikováno v:
Chinese Journal of Lung Cancer, Vol 26, Iss 10, Pp 721-731 (2023)
Background and objective Lung adenocarcinoma (LUAD) is a major subtype of lung cancer, and its treatment and diagnosis remain a hot research topic. Targeting protein for Xenopus kinesin-like protein 2 (TPX2) is highly expressed in a variety of cancer
Externí odkaz:
https://doaj.org/article/e0c23eef85e943ada8cf0365a880f89d
Publikováno v:
Sensors, Vol 21, Iss 21, p 7393 (2021)
Despeckling is a key preprocessing step for applications using PolSAR data in most cases. In this paper, a technique based on a nonlocal weighted linear minimum mean-squared error (NWLMMSE) filter is proposed for polarimetric synthetic aperture radar
Externí odkaz:
https://doaj.org/article/c30339f9711b43a8b448345c13209c25
Publikováno v:
Sensors, Vol 21, Iss 9, p 3006 (2021)
Polarimetric synthetic aperture radar (PolSAR) image classification has played an important role in PolSAR data application. Deep learning has achieved great success in PolSAR image classification over the past years. However, when the labeled traini
Externí odkaz:
https://doaj.org/article/855201d912c34530a36d162955e2759a
Publikováno v:
Geo-spatial Information Science. :1-22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6172f104fb58b27d659ed04f58f38e5c
https://doi.org/10.1080/10095020.2023.2189462
https://doi.org/10.1080/10095020.2023.2189462
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
Oil spill accidents can cause severe ecological disasters, hence the timely and effective detection of oil spills on the marine surface is of great significance. Synthetic aperture radar (SAR) is very suitable for large-scale oil spill monitoring. As
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19038b9d2c60f4b2bf833cfd6d056160
https://doi.org/10.1109/tgrs.2021.3126175
https://doi.org/10.1109/tgrs.2021.3126175
Publikováno v:
Journal of environmental management. 325
Coastal ecosystems offer substantial support and space for the sustainable development of human society, and hence the ecological risk evaluation of coastal ecosystems is of great significance. In this article, we propose an innovative framework for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4a7f0c74e81e9c2302fc08f5e5a18f
https://pubmed.ncbi.nlm.nih.gov/36419311
https://pubmed.ncbi.nlm.nih.gov/36419311
Publikováno v:
2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff760703566f15dd806ab2a06a8eaea4
https://doi.org/10.1109/icceai55464.2022.00085
https://doi.org/10.1109/icceai55464.2022.00085
Publikováno v:
2022 IEEE 5th International Electrical and Energy Conference (CIEEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ac80739893a718371655f3f677e710e
https://doi.org/10.1109/cieec54735.2022.9845849
https://doi.org/10.1109/cieec54735.2022.9845849