Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shengda Niu"'
Autor:
Shaojie Du, Pan Duan, Tianjie Zhao, Zhen Wang, Shengda Niu, Chunfeng Ma, Defu Zou, Panpan Yao, Peng Guo, Dong Fan, Qi Gao, Jingyao Zheng, Zhiqing Peng, Haishen Lü, Jiancheng Shi
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTSoil moisture plays a crucial role in understanding the hydrological cycle and the ecological environment. This research presents an improved change detection method that leverages time series data from Sentinel-1 radar and Sentinel-2 optical
Externí odkaz:
https://doaj.org/article/fa24674fe67e4daaa59889b4db6917e3
Publikováno v:
Carbon Neutrality, Vol 1, Iss 1, Pp 1-18 (2022)
Abstract In order to mitigate global warming, the international communities actively explore low-carbon and green development methods. According to the Paris Agreement that came into effect in 2016, there will be a global stocktaking plan to carry ou
Externí odkaz:
https://doaj.org/article/31aea3ac793b4c94a80c89053151cb13
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 10, Pp 1273-1293 (2021)
The Terrestrial Water Resources Satellite (TWRS) campaign is a planned Chinese candidate satellite mission, and a one-dimensional synthetic aperture technology will be used, resulting in variant incidence angles for collecting synchronous active-pass
Externí odkaz:
https://doaj.org/article/c13e11faa216429681b7dc3437ae429e
Publikováno v:
International Journal of Digital Earth. 14:1273-1293
The Terrestrial Water Resources Satellite (TWRS) campaign is a planned Chinese candidate satellite mission, and a one-dimensional synthetic aperture technology will be used, resulting in variant in...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb83aa4fab6e8a75647b587c8531f42d
https://doi.org/10.1080/17538947.2021.1907461
https://doi.org/10.1080/17538947.2021.1907461
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 17:464-468
The orthogonal-projection-based band selection (OPBS) algorithm is one of the newly proposed band selection methods. In this letter, we present a nonlinear version of the OPBS method, which is denoted as the Kernel-OPBS method. The OPBS method select
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a2c754e54abddaadeef32e168b26137
https://doi.org/10.1109/lgrs.2019.2924972
https://doi.org/10.1109/lgrs.2019.2924972
Publikováno v:
Journal of Applied Remote Sensing. 13:1
Target detection is a crucial problem for the analysis of hyperspectral remote sensing image. Sparse representation-based methods have shown considerable potential in hyperspectral target detection. In a hyperspectral image (HSI), the sparse represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d2983ba7cef9dfe538740037b603d6e
https://doi.org/10.1117/1.jrs.13.046516
https://doi.org/10.1117/1.jrs.13.046516
Publikováno v:
Journal of Applied Remote Sensing; Oct-Dec2019, Vol. 13 Issue 4, p046516-1-046516-15, 15p