Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Yixian Tan"'
Autor:
Prachee Priyadarshinee, Yixian Tan, Cindy Ming Ying Lin, Christopher Johann Clarke, B T Balamurali, Enyi Tan, Vern Hsen Tan, Siang Chew Chai, Colin Yeo, Jer-Ming Chen
Publikováno v:
2022 IEEE International Conference on Signal Processing and Communications (SPCOM).
Autor:
Zihuan Guo, Hong Zhang, Ji Ge, Zhongqi Shi, Lu Xu, Yixian Tang, Fan Wu, Yuanyuan Wang, Chao Wang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104144- (2024)
Extraction of built-up areas from polarimetric synthetic aperture radar (PolSAR) images plays a crucial role in disaster management. The polarimetric orientation angles (POAs) of built-up areas exhibit diversity, and built-up areas with POA close to
Externí odkaz:
https://doaj.org/article/5829fa0b316b4ed188d4814678196b0c
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030251277
Deep convolutional network has achieved great success in visual recognition of static images, while it is not so advantageous as traditional methods in action recognition in videos. However, in recent years, researchers have proposed a series of huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f54643972e01cc957a1e49724bfb8565
https://doi.org/10.1007/978-3-030-25128-4_198
https://doi.org/10.1007/978-3-030-25128-4_198
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030251277
Video surveillance applications involve video content modeling, video understanding, video retrieval service and data management, which rely on the exploration of video surveillance knowledge base. In this study, we explore a modeling platform for vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a035b97d21a9014a687233deb001c68f
https://doi.org/10.1007/978-3-030-25128-4_197
https://doi.org/10.1007/978-3-030-25128-4_197
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030251277
Application orchestration technology has always been one of the research directions of Devops. The traditional application orchestration technology has some problems such as slow deployment and scaling speed. Therefore, this paper proposes a Docker-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cd7dddc37461156a204687f0f550566
https://doi.org/10.1007/978-3-030-25128-4_199
https://doi.org/10.1007/978-3-030-25128-4_199
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2809 (2024)
In the context of global warming, the accelerated degradation of circum-Arctic permafrost is releasing a significant amount of carbon. InSAR can indirectly reflect the degradation of permafrost by monitoring its deformation. This study selected three
Externí odkaz:
https://doaj.org/article/ea10d884ca29467ba2dca779e25461b3
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1483 (2024)
Unmanned aerial vehicle (UAV) image stitching refers to the process of combining multiple UAV images into a single large-format, wide-field image, and the stitched image often contains large irregular boundaries and multiple stitching seams. Usually,
Externí odkaz:
https://doaj.org/article/f03047db2b55498aa75b8dcdc1853e10
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9336-9349 (2023)
The Tibetan Plateau is one of the broadest and highest collisional deformation belts in the world and its tectonic movement is crucial to the evolution of crustal structure and the formation of active geological disasters. Satellite Interferometric S
Externí odkaz:
https://doaj.org/article/74b5193d42514ccaab7e9f99ff4a9f6e
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4461 (2023)
Peatlands in Southeast Asia have been undergoing extensive and rapid degradation in recent years. Interferometric Synthetic Aperture Radar (InSAR) technology has shown excellent performance in monitoring surface deformation. However, due to the chara
Externí odkaz:
https://doaj.org/article/917c41703d344959b2f9de2ecf6c3eef
Autor:
Xuefei Zhang, Hong Zhang, Chao Wang, Yixian Tang, Bo Zhang, Fan Wu, Jing Wang, Zhengjia Zhang
Publikováno v:
IEEE Access, Vol 8, Pp 84336-84351 (2020)
Increasing near-surface temperature over the Qinghai-Tibet Plateau (QTP) has led to permafrost degradation and increasing active layer thickness (ALT). In this study, the ALT was estimated based on ground subsidence monitored by multitemporal interfe
Externí odkaz:
https://doaj.org/article/9a63087f0f0b438ca2627829cf2756f0