Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yongan Xue"'
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 53, Iss 4, Pp 672-681 (2022)
The number of geological hazards is one of the important factors that influence the sensitivity evaluation result. Owing to the small number of developmental geological hazards as sample points in a certain year, the applicability of sensitivity eval
Externí odkaz:
https://doaj.org/article/c37f25609612498887f1a9e15d574a5d
Publikováno v:
Agronomy, Vol 13, Iss 12, p 2868 (2023)
To address the cost issue associated with pixel-level image annotation in fully supervised semantic segmentation, a method based on semi-supervised semantic segmentation is proposed for extracting winter wheat planting areas. This approach utilizes s
Externí odkaz:
https://doaj.org/article/5ed2101139254426904c7bde89513338
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
The hydrocarbon source of Bohai Bay Basin is dominated by oil-prone kerogens of type II2-II1 within semi-deep and deep lacustrine facies. In the Neogene period, faults were well-developed via significant structural activity. The Bohai Sea is generall
Externí odkaz:
https://doaj.org/article/f4c60f1f6cab446a96824058cfd9be7c
Publikováno v:
Petroleum Exploration and Development, Vol 48, Iss 2, Pp 269-285 (2021)
Based on the theory of structural analysis, the characteristics and structural patterns of subtle faults are studied using 3D seismic data of the Bohai Sea to analyze the development process and origin of the subtle faults. A method of identifying su
Externí odkaz:
https://doaj.org/article/6b636aa0c59e427ba37daf4ee1cf8c0f
Publikováno v:
Energies, Vol 15, Iss 9, p 3446 (2022)
Coal is one of the important energy sources for industry. When it is mined, it will cause the destruction of bedrock and surface. However, it is more severe in mining shallow-buried multi coal seams (SBMCS). To better reveal the characteristics of th
Externí odkaz:
https://doaj.org/article/a5e968ac2df846a08ee1bbccbf7247c0
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 939 (2021)
To accurately extract cultivated land boundaries based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm was proposed herein based on a combination of pre- and post-improvement procedures. Image contrast enhancem
Externí odkaz:
https://doaj.org/article/98074f91fb6e42d0aa5f51d4f15a37f1
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 4, p 246 (2020)
To accurately identify slope hazards based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm is proposed. The color difference of the Luv color space was used as the regional similarity measure for region merging
Externí odkaz:
https://doaj.org/article/01a78b815a734c378db3d8171a5e83c4
Publikováno v:
Interpretation. 8:SF95-SF111
Mixed siliciclastic-carbonate sediments occur broadly in modern and ancient systems. Studies on mixing processes began in shallow shelf environments; however, the genetic model of marine mixed sediments is difficult to apply to continental rift basin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dfc35a00bbddd5ff98d7cae3a5bb9c3
https://doi.org/10.1190/int-2019-0144.1
https://doi.org/10.1190/int-2019-0144.1
Publikováno v:
Arabian Journal of Geosciences. 13
To improve the automaticity for identifying geomorphological hazards in underground coal mining areas. An improved region merging watershed segmentation (Lab-RMWS) algorithm was proposed based on the Lab color space. It is generated by combining the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61ed3cb721edb313654bc70b003b3cf1
https://doi.org/10.1007/s12517-020-05329-3
https://doi.org/10.1007/s12517-020-05329-3
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 246, p 246 (2020)
ISPRS International Journal of Geo-Information
Volume 9
Issue 4
ISPRS International Journal of Geo-Information
Volume 9
Issue 4
To accurately identify slope hazards based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm is proposed. The color difference of the Luv color space was used as the regional similarity measure for region merging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15ae625a25f6c12c59a54da22078538f
https://www.mdpi.com/2220-9964/9/4/246
https://www.mdpi.com/2220-9964/9/4/246