Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shaohong Tian"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 9, p 402 (2019)
All authors of the published article [...]
Externí odkaz:
https://doaj.org/article/f9470302069143afb582816c6bb656da
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 1, p 39 (2019)
Asphalt pavement ages and incurs various distresses due to natural and human factors. Thus, it is crucial to rapidly and accurately extract different types of pavement distress to effectively monitor road health status. In this study, we explored the
Externí odkaz:
https://doaj.org/article/ec6c0c59fe3744d7afa5e76a5865b485
Publikováno v:
Remote Sensing, Vol 8, Iss 11, p 954 (2016)
The wetland classification from remotely sensed data is usually difficult due to the extensive seasonal vegetation dynamics and hydrological fluctuation. This study presents a random forest classification approach for the retrieval of the wetland lan
Externí odkaz:
https://doaj.org/article/bfc2cf65eaa54527b6bd2c9b232e26e4
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 11, Pp 1340-1347 (2023)
Background Chinese medicine and acupuncture are widely used in the treatment of myasthenia gravis (MG), but there is a lack of high-quality evidence to verify their effectiveness and safety. One of the reasons is the lack of recognized and unified ou
Externí odkaz:
https://doaj.org/article/ef1d987076d34a76bf33b5a82b158556
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 9, p 402 (2019)
All authors of the published article [...]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::604d34703afdebdc904e09b9ba64804f
https://www.mdpi.com/2220-9964/8/9/402
https://www.mdpi.com/2220-9964/8/9/402
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 1, p 39 (2019)
ISPRS International Journal of Geo-Information
Volume 8
Issue 1
ISPRS International Journal of Geo-Information
Volume 8
Issue 1
Asphalt pavement ages and incurs various distresses due to natural and human factors. Thus, it is crucial to rapidly and accurately extract different types of pavement distress to effectively monitor road health status. In this study, we explored the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8d660bd46638f7a647f0c5592e68e10
https://doi.org/10.3390/ijgi8010039
https://doi.org/10.3390/ijgi8010039
Publikováno v:
Remote Sensing; Volume 8; Issue 11; Pages: 954
Remote Sensing, Vol 8, Iss 11, p 954 (2016)
Remote Sensing, Vol 8, Iss 11, p 954 (2016)
The wetland classification from remotely sensed data is usually difficult due to the extensive seasonal vegetation dynamics and hydrological fluctuation. This study presents a random forest classification approach for the retrieval of the wetland lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4819d64dc6b085d840705ee76797240
Publikováno v:
IGARSS
The aerosol optical depth (AOD) has a weaken effect on the solar ultraviolet radiation, which has an important impact on human health. Taking the AOD weaken effect into consideration in the estimation of ultraviolet radiation helps to obtain an accur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bac2efc5447c7faf471657453b13deb
https://doi.org/10.1109/igarss.2015.7326246
https://doi.org/10.1109/igarss.2015.7326246