Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Zhekun Huang"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
The road grid pattern (RGP) is a common spatial structure in urban road networks, and is important for revealing urban development, population distribution, and functional area delineation. However, recognizing RGPs in vector data is a complex and in
Externí odkaz:
https://doaj.org/article/b5d9f431a94b4b80bc981af1250346bf
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
AbstractDitches are vital to water system data. To ease the task of matching multi-scale ditch data and enhance accuracy (Acc), it is essential to discern ditch data matching patterns. Despite its importance, limited research has been conducted on di
Externí odkaz:
https://doaj.org/article/c277723d29c140138b6a5e0f25ac70f1
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
A polygonal building aggregation method is proposed in this study to address the shortcomings of existing aggregation methods that mostly focus on maintaining a few features, ignoring the requirement for a clear expression. First, visually conglutina
Externí odkaz:
https://doaj.org/article/7c890892219a465989d74a5b0455fe24
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 12, p 469 (2023)
Building outlines are important for emergency response, urban planning, and change analysis and can be quickly extracted from remote sensing images and raster maps using deep learning technology. However, such building outlines often have irregular b
Externí odkaz:
https://doaj.org/article/e01c1934b12949fa8ea97a1cb4a8c384
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12599 (2023)
Extraction of vectorized building outlines from high-resolution remote sensing images is highly useful for various application fields, such as map creation and urban planning. However, this process is often complicated by external factors, such as tr
Externí odkaz:
https://doaj.org/article/ee804b5bdd7248bb95b68bb2e28d75d6
Publikováno v:
Data in Brief, Vol 32, Iss , Pp 106212- (2020)
This paper accompanies the paper titled ''Defining and predicting early recurrence in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy'' presented by the same authors to the European Journal of Surgical Oncology
Externí odkaz:
https://doaj.org/article/2ef04d35ce5e4ea09b190dcc5df41c54
Publikováno v:
Atmosphere, Vol 8, Iss 8, p 146 (2017)
The four-dimensional variational data assimilation (4DVar) method is one of the most popular techniques used in numerical weather prediction. Nevertheless, the needs of the adjoint model and the linearization of the forecast model largely limit the w
Externí odkaz:
https://doaj.org/article/d4e6a064ded548d0b5a6c87c20ccd5e8
Publikováno v:
Neoplasma; 2023, Vol. 70 Issue 5, p597-609, 14p
Publikováno v:
Industrial Crops and Products. 194:116351
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d127658010f7d6674d2e49fac1a6f8ba
https://doi.org/10.1016/j.indcrop.2023.116351
https://doi.org/10.1016/j.indcrop.2023.116351
Publikováno v:
European Journal of Surgical Oncology. 46:2057-2063
Background The definition of “early recurrence (ER)” after rectal cancer surgery is currently unclear. Objective To determine an evidence-based cut-off to distinguish early and late recurrence (LR) for patients with rectal cancer and compare the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8557440c297e95ea3299b044db74eea6
https://doi.org/10.1016/j.ejso.2020.07.019
https://doi.org/10.1016/j.ejso.2020.07.019