Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Changyuan Tian"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 688-701 (2023)
Cross-modal remote sensing (RS) image retrieval aims to retrieve RS images using other modalities (e.g., text) and vice versa. The relationship between objects in the RS image is complex, i.e., the distribution of multiple types of objects is uneven,
Externí odkaz:
https://doaj.org/article/cf18d510c93c4a7cb472414394f88c23
Autor:
Zhiqiang Yuan, Wenkai Zhang, Changyuan Tian, Yongqiang Mao, Ruixue Zhou, Hongqi Wang, Kun Fu, Xian Sun
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103071- (2022)
Cross-modal remote sensing retrieval (RSCR) has an increasing importance due to the ability to quickly and flexibly retrieve valuable data from enormous remote sensing (RS) images. However, traditional RSCR methods tend to focus on the retrieval betw
Externí odkaz:
https://doaj.org/article/50b0715d712f4eda93da5054ccb24791
Publikováno v:
International Journal of Systems Science. 53:1744-1755
Autor:
Zhiqiang Yuan, Wenkai Zhang, Changyuan Tian, Xuee Rong, Zhengyuan Zhang, Hongqi Wang, Kun Fu, Xian Sun
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-16
Cross-modal remote sensing text-image retrieval (RSCTIR) has recently become an urgent research hotspot due to its ability of enabling fast and flexible information extraction on remote sensing (RS) images. However, current RSCTIR methods mainly focu