Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Tianyou Chu"'
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 1485-1505 (2022)
Numerous news or event pictures are taken and shared on the internet every day that have abundant information worth being mined, but only a small fraction of them are geotagged. The visual content of the news image hints at clues of the geographical
Externí odkaz:
https://doaj.org/article/8e17c866d0294832a35980ebb4c387bb
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 1, p 67 (2022)
The COVID-19 pandemic has led to many deaths and economic disruptions across the world. Several studies have examined the effect of corresponding health risk factors in different places, but the problem of spatial heterogeneity has not been adequatel
Externí odkaz:
https://doaj.org/article/f5e42988f9c74446a01b6bfc0a2b84a5
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3978 (2020)
Street view image retrieval aims to estimate the image locations by querying the nearest neighbor images with the same scene from a large-scale reference dataset. Query images usually have no location information and are represented by features to se
Externí odkaz:
https://doaj.org/article/3fd6244d34e944a1be67f6c8932b24ac
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 4, p 238 (2020)
The recognition of postearthquake scenes plays an important role in postearthquake rescue and reconstruction. To overcome the over-reliance on expert visual interpretation and the poor recognition performance of traditional machine learning in postea
Externí odkaz:
https://doaj.org/article/32603a0b7656455db6c288ca66c7e705
Publikováno v:
Environmental Science and Pollution Research. 28:67800-67813
PM2.5 concentrations are commonly estimated using geographically weighted regression (GWR) models, but these models may suffer from multi-collinearity and over-focus on local feature problems. To overcome these shortcomings, a self-adaptive bandwidth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49b596262ab18fd0626db88ced5ca2f1
https://doi.org/10.1007/s11356-021-15196-4
https://doi.org/10.1007/s11356-021-15196-4
Background: The COVID-19 pandemic has led to many deaths and economic disruptions across the world. Several studies have examined the effect of health risk factors on COVID-19 rates in different places, but the problem of spatial heterogeneity has no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71582344d3805e2a71d0555e8aec9da
https://doi.org/10.21203/rs.3.rs-910492/v1
https://doi.org/10.21203/rs.3.rs-910492/v1
Publikováno v:
Environmental science and pollution research international. 28(47)
PM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8e9848cfde14cefaa07b8ed93fd7cc90
https://pubmed.ncbi.nlm.nih.gov/34268695
https://pubmed.ncbi.nlm.nih.gov/34268695
Publikováno v:
IGARSS
Street view image retrieval is a challenging subject due to the complexity of the street view. Such images contain a large number of similarly structured buildings and are obscured by other objects such as pedestrians and vehicles. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58fccb1842ac510745fcddbe9dcc8b2b
https://doi.org/10.1109/igarss39084.2020.9323667
https://doi.org/10.1109/igarss39084.2020.9323667
Publikováno v:
Remote Sensing, Vol 12, Iss 3978, p 3978 (2020)
Remote Sensing; Volume 12; Issue 23; Pages: 3978
Remote Sensing; Volume 12; Issue 23; Pages: 3978
Street view image retrieval aims to estimate the image locations by querying the nearest neighbor images with the same scene from a large-scale reference dataset. Query images usually have no location information and are represented by features to se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a0acd96fee12342ff1e2aae57aa7e58
https://doi.org/10.3390/rs12233978
https://doi.org/10.3390/rs12233978
Publikováno v:
Atmospheric Environment. 223:117205
Ordinary interpolation using PM2.5 ground monitoring observations can seldom reveal the PM2.5 concentration distribution characteristics due to the uneven distribution of monitoring stations and because ordinary linear regression often neglects the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28906016f8432ad0e0a38980d069183c
https://doi.org/10.1016/j.atmosenv.2019.117205
https://doi.org/10.1016/j.atmosenv.2019.117205