Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Changbin Xue"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11670-11684 (2024)
Zero-shot classification models aim to recognize image categories that are not included in the training phase by learning seen scenes with semantic information. This approach is particularly useful in remote sensing (RS) since it can identify previou
Externí odkaz:
https://doaj.org/article/b36ceeca935f409290944e61be8a77a4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11274-11289 (2024)
In recent years, remote sensing (RS) image scene classification methods have experienced notable development due to the powerful feature extraction ability of deep learning. However, current methods for RS image scene classification (RSSC) tasks stru
Externí odkaz:
https://doaj.org/article/ac160a839eca4927b505fb0582895b8a
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3452 (2024)
Recent advancements in space exploration technology have significantly increased the number of diverse satellites in orbit. This surge in space-related information has posed considerable challenges in developing space target surveillance and situatio
Externí odkaz:
https://doaj.org/article/22d37a4719094e0f9ca2c7508e0cedfa
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5673 (2024)
Small target detection has become an important part of space exploration missions. The existence of weak illumination and interference from the background of star charts in deep and distant space has brought great challenges to space target detection
Externí odkaz:
https://doaj.org/article/48050b29c61b41089509f4d9915b4e0f
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 489 (2024)
The fusion of hyperspectral imagery (HSI) and light detection and ranging (LiDAR) data for classification has received widespread attention and has led to significant progress in research and remote sensing applications. However, existing common CNN
Externí odkaz:
https://doaj.org/article/3a6c52825ad7494396064c2dd6f7dfec
Autor:
Yingzhuo Jia, Zhanlan Zhang, Lang Qin, Tao Ma, Bohan Lv, Zhongliang Fu, Changbin Xue, Yongliao Zou
Publikováno v:
Space: Science & Technology, Vol 3 (2023)
Since the 1990s, the existence of water-ice in the permanent shadow areas of the lunar polar regions and the problem of water in the early lunar period have become the hot spot of international lunar exploration. This paper analyzes the research prog
Externí odkaz:
https://doaj.org/article/0d0f3ec11cb14471ae67fe34ea0555a8
Autor:
Ziheng Liu, Huaiyu He, Jiannan Li, Jialong Hao, Junyue Tang, Zhiheng Zhang, Shengyuan Jiang, Guanxin Chi, Ranran Liu, Lei Wang, Hao Geng, Changbin Xue
Publikováno v:
Aerospace, Vol 10, Iss 7, p 657 (2023)
According to the big impact hypothesis, the moon should be very dry. However, more and more evidence from the remote sensing of the moon in recent years indicates that there is a lot of water in the moon’s polar regions. Researching the source and
Externí odkaz:
https://doaj.org/article/c3439361008a45fc9abeb7760aea526e
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Due to the limited storage space of spacecraft and downlink bandwidth in the data delivery during planetary exploration, an efficient way for image compression onboard is essential to reduce the volume of acquired data. Applicable for planetary image
Externí odkaz:
https://doaj.org/article/3d86db5e839b4bf89df92503028afdf7
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6297 (2022)
Planetary rover systems need to perform terrain segmentation to identify feasible driving areas and surround obstacles, which falls into the research area of semantic segmentation. Recently, deep learning (DL)-based methods were proposed and achieved
Externí odkaz:
https://doaj.org/article/38708a7b5717411c88ab3da0fd5239a6
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7172 (2022)
The hyperspectral image compression scheme is a trade-off between the limited hardware resources of the on-board platform and the ever-growing resolution of the optical instruments. Predictive coding attracts researchers due to its low computational
Externí odkaz:
https://doaj.org/article/bda2ed1e7e1643c7908d912048d5a6fa