Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yongshi Jie"'
Autor:
Peng Wang, Yongkang Chen, Yi Yang, Ping Chen, Gong Zhang, Daiyin Zhu, Yongshi Jie, Cheng Jiang, Henry Leung
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2815-2827 (2024)
Compared with large-scale ships, small-scale ships occupy few pixels and have low contrast, so it poses a great challenge to detect multiscale ships in synthetic aperture radar (SAR) images. In order to improve the accuracy of multiscale ship detecti
Externí odkaz:
https://doaj.org/article/91654a6df0df476e91bae98bf6a29380
Autor:
Peng Zhou, Peng Wang, Jie Cao, Daiyin Zhu, Qiyuan Yin, Jiming Lv, Ping Chen, Yongshi Jie, Cheng Jiang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 190-205 (2024)
With the rapid development of deep learning, convolutional neural networks have achieved milestones in synthetic aperture radar (SAR) image object detection. However, object detection in SAR images is still a great challenge due to the difficulty in
Externí odkaz:
https://doaj.org/article/d9fa519b0d7e430a908ebe7f1c0e2114
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5342 (2022)
Road extraction from remote sensing images is significant for urban planning, intelligent transportation, and vehicle navigation. However, it is challenging to automatically extract roads from remote sensing images because the scale difference of roa
Externí odkaz:
https://doaj.org/article/55e3b0288c9a44a6874cbbb6a6528b40
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4182 (2020)
Marine raft aquaculture (MFA) plays an important role in the marine economy and ecosystem. With the characteristics of covering a large area and being sparsely distributed in sea area, MFA monitoring suffers from the low efficiency of field survey an
Externí odkaz:
https://doaj.org/article/1125df1ded49435297ceced398b4eeba
Publikováno v:
Energies, Vol 13, Iss 24, p 6742 (2020)
Distributed photovoltaic power stations are an effective way to develop and utilize solar energy resources. Using high-resolution remote sensing images to obtain the locations, distribution, and areas of distributed photovoltaic power stations over a
Externí odkaz:
https://doaj.org/article/bd92366c5d2a4f16a53f333328ccf011
Publikováno v:
Remote Sensing, Vol 12, Iss 4182, p 4182 (2020)
Remote Sensing; Volume 12; Issue 24; Pages: 4182
Remote Sensing; Volume 12; Issue 24; Pages: 4182
Marine raft aquaculture (MFA) plays an important role in the marine economy and ecosystem. With the characteristics of covering a large area and being sparsely distributed in sea area, MFA monitoring suffers from the low efficiency of field survey an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cf951a1ecba6b68582093d31e4a0e10
https://www.mdpi.com/2072-4292/12/24/4182
https://www.mdpi.com/2072-4292/12/24/4182
Autor:
Jingbo Chen, Liu Shunxi, Anzhi Yue, Yu Meng, Yupeng Deng, Qingqing Huang, Yongshi Jie, Zongyang Yu
Publikováno v:
Journal of Applied Remote Sensing. 14:1
The quantity and distribution of photovoltaic power stations play an important role in policymaking related to clean energy. High-resolution satellite imagery with a wide field of view enables photovoltaic power station monitoring at low cost. The se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4ffd64cb29d5f0df4ff6d0710b794e
https://doi.org/10.1117/1.jrs.14.016506
https://doi.org/10.1117/1.jrs.14.016506
Publikováno v:
2016 Prognostics and System Health Management Conference (PHM-Chengdu).
Aiming at requirements of quantitative risk assessment of space utilization payloads in China's space station program, a reliability assessment approach based on probabilistic risk assessment is proposed for the high microgravity science experiment s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::208f0b2e4c1bfe5ee8daa50761b0d7d1
https://doi.org/10.1109/phm.2016.7819797
https://doi.org/10.1109/phm.2016.7819797
Publikováno v:
2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS).
In order to quantitatively assess the reliability of high microgravity science experiment system in Chinese space stations, a reliability assessment approach based on probabilistic risk assessment (PRA) is proposed. Uncertainty analysis is a core pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9c26b0ea584d51f2c44004685d28476
https://doi.org/10.1109/icrms.2016.8050109
https://doi.org/10.1109/icrms.2016.8050109