Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gulimila Kezierbieke"'
Publikováno v:
IEEE Access, Vol 12, Pp 162180-162190 (2024)
Image/feature decomposition plays a crucial role in image fusion tasks. However, in deep learning-based fusion methods, existing decomposition operations tend to be either overly simplistic or excessively intricate to learn effectively. In this paper
Externí odkaz:
https://doaj.org/article/4a4bf10c627f43e18f096f0f2f377139
Autor:
Zhiyong ZHANG, Gulimila KEZIERBIEKE, Shanshan CAO, Fantao KONG, Tingting LIU, Wei SUN, Quansheng LI
Publikováno v:
China Scientific Data. 7
Publikováno v:
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE).
Based on the secondary development method of component-based GIS and WaSSI-C model operation mechanism, this paper adopts C / S mode architecture, takes. Net and Visual Studio 2012 as the development environment, use Geodatabase spatial database and
Autor:
MA Yan, Gulimila·Kezierbieke
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 7, Pp 1526-1548 (2023)
Rapid acquisition of remote sensing information has important research significance for the development of image semantic segmentation methods in remote sensing image interpretation applications. With more and more types of data recorded by satellite
Externí odkaz:
https://doaj.org/article/74397dafd5f045ebb469839394f3a4e5