Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Fansheng Chen"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Cloud cover is a significant factor affecting the effectiveness of satellite-based Earth observations. Existing cloud detection algorithms primarily rely on imaging data from satellite sensors in the visible to near-infrared spectral range, making it
Externí odkaz:
https://doaj.org/article/db16f457d4c34104a3f1b19a1ac627a4
Autor:
Jianing Yu, Xiaoxuan Zhou, Liyuan Li, Long Gao, Xiaoyan Li, Wenhao Pan, Xinyue Ni, Qiyao Wang, Fansheng Chen
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103980- (2024)
With the rapid development of the aviation industry, the impact of contrails on global warming is becoming increasingly significant. However, due to limitations in sensor technology and data sources, precise, all-weather observations of contrails rem
Externí odkaz:
https://doaj.org/article/f85ca62b483a49f68887b22bbe49541d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13332-13345 (2024)
High-precision geometric registration has been widely used in remote-sensing applications, such as image fusion. In practice, it is found that the geometric deformation (GD) of the bidirectional whisk-broom images, namely forward- and backward-scanni
Externí odkaz:
https://doaj.org/article/478a1446bac443f4917eb5964915a622
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6224-6232 (2024)
SDGSAT-1, the inaugural Earth science satellite commissioned by the Chinese Academy of Sciences, successfully lifted off from China's Taiyuan Satellite Launch Center on 5 November 2021. Cross calibration has emerged as an indispensable methodology, p
Externí odkaz:
https://doaj.org/article/f2dbc42432b74973bf7e004dda5d6964
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6233-6240 (2024)
Launched in November 2021, the sustainable development science satellite-1 carries the thermal infrared spectrometer (TIS) as a pivotal payload. Achieving precise radiometric calibration for geophysical parameter accuracy is crucial. Leveraging the f
Externí odkaz:
https://doaj.org/article/77625a979fbb4553b3671851f41c46d2
Autor:
Yonghong Hu, Xiao-Ming Li, Changyong Dou, Gensuo Jia, Zhuoyue Hu, Anlun Xu, Yongzheng Ren, Lin Yan, Ning Wang, Zhenzhen Cui, Fansheng Chen
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4493-4512 (2023)
A thermal infrared spectrometer is an important sensor onboard the SDGSAT-1 dedicated to serving the 2030 Agenda for Sustainable Development of the United Nations. Field campaigns were conducted from January to December 2022 to evaluate its radiometr
Externí odkaz:
https://doaj.org/article/af5e6bf3c565419eacfd1b55c9d8010a
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/9f73814141f440fabdddda8fda5fb2c5
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4018 (2024)
The effective discrimination of targets from backgrounds in environments characterized by a low signal-to-clutter ratio (SCR) is paramount for the advancement of infrared small target detection (IRSTD). In this work, we propose a novel detection fram
Externí odkaz:
https://doaj.org/article/32a010bf37fe4facb0869278caca34f9
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103847- (2024)
Stripe noise is present in the on-orbit images captured by the Sustainable Development Goals Satellite-1 (SDGSAT-1) Thermal Infrared Spectrometer (TIS). Removing these stripes lays the crucial groundwork for subsequent remote sensing data application
Externí odkaz:
https://doaj.org/article/63cd59df3f35494bb69c48c6a2bbbc11
Autor:
Xiao Fu, Tangxin Li, Bin Cai, Jinshui Miao, Gennady N. Panin, Xinyu Ma, Jinjin Wang, Xiaoyong Jiang, Qing Li, Yi Dong, Chunhui Hao, Juyi Sun, Hangyu Xu, Qixiao Zhao, Mengjia Xia, Bo Song, Fansheng Chen, Xiaoshuang Chen, Wei Lu, Weida Hu
Publikováno v:
Light: Science & Applications, Vol 12, Iss 1, Pp 1-10 (2023)
Two-terminal artificial optoelectronic devices in which photoexcited carriers and ions are coupled constitute a built-in artificial neural network that can sense, memory and process simultaneously.
Externí odkaz:
https://doaj.org/article/7f5e3475255e4c4dab2b2e55c3f73898