Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Shizhi Yang"'
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1884 (2024)
This study proposes a numerical model to simulate the thermal characteristics of stratospheric airships (SA). This model introduces a simple yet accurate method for the selection of the optical bands for target detection based on multispectral featur
Externí odkaz:
https://doaj.org/article/abeee89657364f2cb163abf62e76006a
Autor:
Wenqiang Lu, Shizhi Yang, Wenyue Zhu, Xuebin Li, Shengcheng Cui, Tao Luo, Lu Han, Jianjun Shi
Publikováno v:
Earth and Space Science, Vol 9, Iss 3, Pp n/a-n/a (2022)
Abstract High clouds are globally widespread and are crucially important to global radiative processes and to the thermal balance of the Earth. Active remote sensing measurements can provide more reliable detection of optically thin cirrus clouds tha
Externí odkaz:
https://doaj.org/article/8f198987126d47e98fa59fab66d1b732
Publikováno v:
Materials Advances. 4:1188-1195
The designed UCNPs were firstly applied in enhancing TSTF UCL. The amplified UCL was attributed to reduction of surface quenching and improvement of 1550 nm absorption. The design provided a novel strategy for studying the mechanism of TSTF UCL.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2889cb0ca9837ab93c2386e169def22
https://doi.org/10.1039/d2ma01040b
https://doi.org/10.1039/d2ma01040b
Publikováno v:
Earth and Space Science. 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af6e17c5e09a2ea543e6a9c522fd8daf
https://doi.org/10.1029/2022ea002738
https://doi.org/10.1029/2022ea002738
Publikováno v:
Journal of Physics: Conference Series. 1739:012048
The Coherent Doppler Wind Lidar (CDWL) is one of the important remote sensing devices for atmospheric boundary layer wind field observation, it has broad application prospects in the fields of meteorological monitoring and warning, air pollution tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c60025cfdf0348d155bf3d5bbbfb29e
https://doi.org/10.1088/1742-6596/1739/1/012048
https://doi.org/10.1088/1742-6596/1739/1/012048
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 23, Iss 1, p 059 (2012)
A rigorous and modular Monte Carlo radiative transfer model MCRT has been developed to compute radiance for realistic cloudy atmosphere over sea surfaces in the visible and near-IR spectra. The simulation methods of the sample¡¦s trajectories are c
Externí odkaz:
https://doaj.org/article/df739a039ab64302a9a4f39283a317f2
Publikováno v:
Optik. 125:7106-7112
Linear kernel-driven bidirectional reflectance distribution function (BRDF) models have been used for mapping albedo with single field-of-view satellite measurements such as Moderate Resolution Imaging Spectroradiometer (MODIS). Due to limited sampli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f424684ecd305d003427a7be022b5b9c
https://doi.org/10.1016/j.ijleo.2014.08.089
https://doi.org/10.1016/j.ijleo.2014.08.089
Publikováno v:
Journal of Zhejiang University SCIENCE C. 15:664-674
In this paper, we present an adaptive two-step contourlet-wavelet iterative shrinkage/thresholding (TcwIST) algorithm for remote sensing image restoration. This algorithm can be used to deal with various linear inverse problems (LIPs), including imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d648e13ebd5142bcb4bd72e6a2dd8b8
https://doi.org/10.1631/jzus.c1300377
https://doi.org/10.1631/jzus.c1300377
Publikováno v:
Chinese Optics Letters. 12:110101-110105
Remote measurements of Earth's surface from ground, airborne, and spaceborne instruments show that its albedo is highly variable and is sensitive to solar zenith angle (SZA) and atmospheric opacity. Using a validated radiative transfer calculating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8ab7ec2229e8028a99d958774cda71
https://doi.org/10.3788/col201412.110101
https://doi.org/10.3788/col201412.110101
Publikováno v:
Journal of the Indian Society of Remote Sensing. 42:35-49
Fuzzy c-means (FCM) algorithm is a popular method in image segmentation and image classification. However, the traditional FCM algorithm cannot achieve satisfactory classification results because remote sensing image data are not subjected to Gaussia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::664904f8cbd4be5b3d465a503bf50e96
https://doi.org/10.1007/s12524-013-0296-x
https://doi.org/10.1007/s12524-013-0296-x