Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Zifei Zhao"'
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
Autor:
Zihui Zhang, Lang Xia, Zifei Zhao, Fen Zhao, Guanyu Hou, Shixin Wu, Xiao Sun, Shangrong Wu, Peng Yang, Yan Zha
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1308 (2024)
Soil organic carbon stock (SOCS) changes caused by land use changes are still unclear, and understanding this response is essential for many environmental policies and land management practices. In this study, we investigated the temporal–spatial a
Externí odkaz:
https://doaj.org/article/51d811c8ef2f4d31b7e3ed544db0e4a3
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
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3228-3242 (2021)
Scene classification is one of the most important applications of remote sensing. Researchers have proposed various datasets and innovative methods for remote sensing scene classification in recent years. However, most of the existing remote sensing
Externí odkaz:
https://doaj.org/article/79f9a100fd494a6fa574da1da13bd8de
Publikováno v:
IEEE Access, Vol 5, Pp 6626-6635 (2017)
The quality of experience (QoE) perceived by users is a critical performance measure for Web browsing. “Above-The-Fold” (ATF) time has been recently recognized and widely used as a direct measure of user-end QoE by a number of studies. To reduce
Externí odkaz:
https://doaj.org/article/ca45fb1e52f34525a2f9f2852a853eae
Autor:
Wanfeng Zhang, Zhuang Zhou, Yanfeng Gu, Shengyang Li, Hong Tan, Shiyu Xuan, Zifei Zhao, Gui-Song Xia
Publikováno v:
Neurocomputing. 438:94-106
As a new method of Earth observation, video satellite can provide high-temporal resolution remote sensing images for object tracking. Object tracking in satellite videos is promising yet challenging in computer vision. Although many algorithms for sa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3228-3242 (2021)
Scene classification is one of the most important applications of remote sensing. Researchers have proposed various datasets and innovative methods for remote sensing scene classification in recent years. However, most of the existing remote sensing
Autor:
Shaopan Xiong, Longxuan Kou, Weilong Guo, Junjie Lu, Wei Wu, Shengyang Li, Zhuang Zhou, Zifei Zhao
Publikováno v:
Global Intelligent Industry Conference 2020.
Hyperspectral image classification plays an important role in many remote sensing applications. However, the high-dimensional characteristics of hyperspectral images and the appropriate feature representations leave it with great challenges. In this
Publikováno v:
2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC).
This paper presents an approach to single-object video object segmentation, only using the first-frame bounding box (without mask) to initialize. The proposed method is a tracking-driven single-object video object segmentation, which combines an effe
Publikováno v:
IEEE Access, Vol 5, Pp 6626-6635 (2017)
The quality of experience (QoE) perceived by users is a critical performance measure for Web browsing. “Above-The-Fold” (ATF) time has been recently recognized and widely used as a direct measure of user-end QoE by a number of studies. To reduce