Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Minghao Xian"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9486-9494 (2021)
The large-scale monitoring of rainfall is of great significance in the research of meteorology, hydrology, and atmospheric measurement science. In recent years, with the quick development of communication satellite constellation, the use of earth-spa
Externí odkaz:
https://doaj.org/article/00fdcf48b6f14df38b1f3a32c891ac48
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3656-3668 (2020)
Recently, the oblique earth-space links (OELs) between satellite and earth station have been used for rainfall monitoring as a supplement to existing observation methods. Most recent studies achieved the rainfall measurement by OELs based on the empi
Externí odkaz:
https://doaj.org/article/5a9e0b25febd4747831ef66de2d294ff
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2220 (2022)
High-precision retrieval of rainfall over large areas is of great importance for the research of atmospheric detection and the social life. With the rapid development of communication satellite constellations and 5G communication networks, the use of
Externí odkaz:
https://doaj.org/article/7e191e553ef643c9aa1d8d1193665697
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3598 (2020)
High-precision rainfall field reconstruction and nowcasting play an important role in many aspects of social life. In recent years, the rain-induced signal attenuation of oblique earth-space links (OELs) has been presented to monitor regional rainfal
Externí odkaz:
https://doaj.org/article/07511a7c19e2418e8aedc7a85154d00b
Autor:
Wangmei Ren, Cheng Tao, Lei Cao, Linyao Liu, Jiale Zheng, Wenyan Zhu, Minghao Xiang, Lihuan Wang, Yongsheng Liu, Cheng Zhang, Pengpeng Zheng
Publikováno v:
Plant Stress, Vol 13, Iss , Pp 100559- (2024)
The trace element zinc (Zn) is involved in various biological processes in plant, yet its excessive accumulation can result in plant toxicity. In this study, we unveiled a novel NAC transcription factor, AcNRZ1, in kiwifruit, and qRT-PCR analysis sho
Externí odkaz:
https://doaj.org/article/c0088be11ffa43d9870ce2be6953eff4
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4544 (2022)
Remote sensing images with high temporal and spatial resolutions play a crucial role in land surface-change monitoring, vegetation monitoring, and natural disaster mapping. However, existing technical conditions and cost constraints make it very diff
Externí odkaz:
https://doaj.org/article/c452a9b3d205408fafa620e351e8c3ed
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4224 (2022)
Pansharpening methods based on deep learning can obtain high-quality, high-resolution multispectral images and are gradually becoming an active research topic. To combine deep learning and remote sensing domain knowledge more efficiently, we propose
Externí odkaz:
https://doaj.org/article/45b5dd8ac32a4fada3985c843337563b
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4505 (2021)
To meet the need for multispectral images having high spatial resolution in practical applications, we propose a dense encoder–decoder network with feedback connections for pan-sharpening. Our network consists of four parts. The first part consists
Externí odkaz:
https://doaj.org/article/a185dde662d44c2b930d3d38098e3ac6
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2218 (2021)
In most practical applications of remote sensing images, high-resolution multispectral images are needed. Pansharpening aims to generate high-resolution multispectral (MS) images from the input of high spatial resolution single-band panchromatic (PAN
Externí odkaz:
https://doaj.org/article/ac3ecebe8f1d44dfbac88b3452639239