Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Xianjun Gao"'
Autor:
Zhiqiang Qin, Xiaoli Liang, Jiayao Wang, Xianjun Gao, Lei Chen, Xiang Yin, Haoxue Jia, Yunxiang Liu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103893- (2024)
The complexity of indoor point cloud and information loss during point cloud acquisition are the main challenges for accurate and complete indoor buildings 3D wireframe construction. This paper presents a 3D wireframe construction method for indoor s
Externí odkaz:
https://doaj.org/article/a07b535054874ff1bc6f247507d209e7
Autor:
Dongjie Yang, Xianjun Gao, Yuanwei Yang, Minghan Jiang, Kangliang Guo, Bo Liu, Shaohua Li, Shengyan Yu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 938-953 (2024)
Building extraction is significant for the intelligent interpretation of high-resolution remote sensing images (HRSIs). However, in some complex scenarios where the features of the building and its adjacent ground objects are similar, the current seg
Externí odkaz:
https://doaj.org/article/644be5d55c8f4c6383e4b233ddfc2af6
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 3959 (2024)
Extracting water information from remote-sensing images is of great research significance for applications such as water resource protection and flood monitoring. Current water extraction methods aggregated richer multi-level features to enhance the
Externí odkaz:
https://doaj.org/article/c0cb3689e339410a8ad946ee0c60674f
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1253 (2024)
Hyperspectral image (HSI) classification aims to recognize categories of objects based on spectral–spatial features and has been used in a wide range of real-world application areas. Attention mechanisms are widely used in HSI classification for th
Externí odkaz:
https://doaj.org/article/fc8954118faf420393c6244a7e0d9a3f
Autor:
Bingfeng Zuo, Yang Zhang, Kangjie Zhao, Li Wu, Han Qi, Rong Yang, Xianjun Gao, Mengyuan Geng, Yingjie Wu, Renwei Jing, Qibing Zhou, Yiqi Seow, HaiFang Yin
Publikováno v:
Journal of Hematology & Oncology, Vol 15, Iss 1, Pp 1-21 (2022)
Abstract Background Personalized immunotherapy utilizing cancer vaccines tailored to the tumors of individual patients holds promise for tumors with high genetic heterogeneity, potentially enabling eradication of the tumor in its entirety. Methods He
Externí odkaz:
https://doaj.org/article/ff0c328296b844ca9c6a405a5fe29c5d
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103070- (2022)
Cloud detection is a crucial step in remote sensing image preprocessing. Deep learning (DL) methods are currently preferred for cloud detection, and the original images need to be cropped into smaller patches for DL training and testing. However, in
Externí odkaz:
https://doaj.org/article/e9e6e6de25a54edfab6f1c345c69892f
Publikováno v:
Applied Sciences, Vol 13, Iss 16, p 9296 (2023)
As clouds of different thicknesses block sunlight, large areas of cloud shadows with varying brightness can appear on the ground. Cloud shadows in high-resolution remote sensing images lead to uneven loss of image feature information. However, cloud
Externí odkaz:
https://doaj.org/article/c10032be0170492788b6827cd4bc52bd
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3788 (2023)
With the improvement of spectral resolution, the redundant information in the hyperspectral imaging (HSI) datasets brings computational, analytical, and storage complexities. Feature selection is a combinatorial optimization problem, which selects a
Externí odkaz:
https://doaj.org/article/0529e5f3d34f40fda8774a6df584cc50
Autor:
Huacui Song, Yuanwei Yang, Xianjun Gao, Maqun Zhang, Shaohua Li, Bo Liu, Yanjun Wang, Yuan Kou
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2706 (2023)
The joint utilization of multi-source data is of great significance in geospatial observation applications, such as urban planning, disaster assessment, and military applications. However, this approach is confronted with challenges including inconsi
Externí odkaz:
https://doaj.org/article/6a739566bd4f46cbb78f8198ed90ff1a
Autor:
Bingfeng Zuo, Han Qi, Zhen Lu, Lu Chen, Bo Sun, Rong Yang, Yang Zhang, Zhili Liu, Xianjun Gao, Abin You, Li Wu, Renwei Jing, Qibing Zhou, HaiFang Yin
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
The use of tumour exosome-activated dendritic cell (DC) immunotherapy shows promise for the treatment of large established tumours. Here, the authors generate alarmin HMGN1-attached tumour exosomes which significantly improve therapy efficacy by boos
Externí odkaz:
https://doaj.org/article/fe4fbc85947e42be8068f1782617b5b6