Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Shengyang Li"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8823-8834 (2024)
Video satellites provide dynamic real-time monitoring of hotspot areas and objects by continuously imaging objects within a specified sequence, providing dynamic information over large areas. Satellite video object segmentation aims to separate foreg
Externí odkaz:
https://doaj.org/article/d32c5221886a4a36bb748d3f527128e8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 685-695 (2024)
Intelligent processing and analysis of satellite video has become one of the research hotspots in the representation of remote sensing, and satellite video super-resolution (SVSR) is an important research direction, which can improve the image qualit
Externí odkaz:
https://doaj.org/article/2170524eed834effae907be9f5735f5b
Autor:
Zifei Zhao, Shengyang Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103740- (2024)
Arbitrary oriented object detection (AOOD) is a fundamental task in aeiral image interpretation, which is commonly implemented by optimizing three subtasks: classification, localization, and orientation. The consistency of classification, localizatio
Externí odkaz:
https://doaj.org/article/f280615b7ec049cb83f3f2107f9cd0c6
Publikováno v:
PeerJ Computer Science, Vol 10, p e1817 (2024)
The most direct way to find the electrical switchgear fault is to use infrared thermal imaging technology for temperature measurement. However, infrared thermal imaging images are usually polluted by noise, and there are problems such as low contrast
Externí odkaz:
https://doaj.org/article/570e1f506baf46069026aff3c2e75985
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2549 (2024)
Cloud computing has become one of the key technologies used for big data processing and analytics. User management on cloud platforms is a growing challenge as the number of users and the complexity of systems increase. In light of the user-managemen
Externí odkaz:
https://doaj.org/article/2ca4bee030474db5969d325f57745ab6
Autor:
Shengyang Li, Xian Sun, Yanfeng Gu, Yixuan Lv, Manqi Zhao, Zhuang Zhou, Weilong Guo, Yuhan Sun, Han Wang, Jian Yang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6776-6798 (2023)
Intelligent processing of satellite video focuses on extracting specific information of ground objects and scenes from earth observation videos through intelligent image/video processing technology, which has important applications in fields such as
Externí odkaz:
https://doaj.org/article/143b68b1fdae4c0a801440606a5b98c8
Autor:
Yixuan LYU, Zhirui WANG, Peijin WANG, Shengyang LI, Hong TAN, Kaiqiang CHEN, Liangjin ZHAO, Xian SUN
Publikováno v:
Leida xuebao, Vol 11, Iss 4, Pp 652-665 (2022)
The sample scarcity issue is still challenged for SAR images interpretation. The number of geospatial targets related images is constrained of the SAR images interpretation ability of data acquisition, sample labeling, and the lack of target coverage
Externí odkaz:
https://doaj.org/article/c83982a5c92b466ea523d71a401e5b49
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2563-2573 (2022)
Given a pair of bitemporal very high resolution (VHR) remote sensing images, the semantic change detection task aims to locate land surface changes and identify their semantic classes. The existing algorithms use independent branches to locate and id
Externí odkaz:
https://doaj.org/article/17d4dd30b6f8473884aa0363dbc928f2
Autor:
Weilong Guo, Shengyang Li, Jian Yang, Zhuang Zhou, Yunfei Liu, Junjie Lu, Longxuan Kou, Manqi Zhao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2546-2562 (2022)
Remote sensing image scene classification faces challenges, such as the difference in semantic granularity of different scene categories and the imbalance of the number of samples, which cause the wrong features learning for deep convolutional networ
Externí odkaz:
https://doaj.org/article/eaf78821fc3b41929f08295339ad4a07
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 6, p 6003 (2023)
Cupriavidus nantongensis X1T is a type strain of the genus Cupriavidus, that can degrade eight kinds of organophosphorus insecticides (OPs). Conventional genetic manipulations in Cupriavidus species are time-consuming, difficult, and hard to control.
Externí odkaz:
https://doaj.org/article/2f46d2f2f471409cbc628270364b99bb