Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Linyao QIU"'
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 997 (2024)
In synthetic aperture radar (SAR) imaging, intelligent object detection methods are facing significant challenges in terms of model robustness and application security, which are posed by adversarial examples. The existing adversarial example generat
Externí odkaz:
https://doaj.org/article/70937e6de7a241f8b2c4dd0153e987e9
Publikováno v:
天地一体化信息网络, Vol 1, Pp 121-127 (2020)
Aim at the problems of large volume and low degree of sharing of remote sensing data, high complexity of algorithm model and single function of disaster response application system, the main functions and technical framework of GIP, as well as the ad
Externí odkaz:
https://doaj.org/article/4b214d2af1ec4de98fc37cad62ec5a37
Publikováno v:
天地一体化信息网络, Vol 1, Pp 85-89 (2020)
In view of the existing problems in infrastructure,data sharing,application services and other aspects in China's space information application service system,the defi nition,construction concept and development goal of ground information port (GIP)
Externí odkaz:
https://doaj.org/article/5bdd1f9fc2c94694bffd66ec0c4f9e6c
Publikováno v:
Symmetry, Vol 12, Iss 2, p 199 (2020)
Multi-source spatio-temporal data analysis is an important task in the development of smart cities. However, traditional data analysis methods cannot adapt to the growth rate of massive multi-source spatio-temporal data and explain the practical sign
Externí odkaz:
https://doaj.org/article/bad4d8b38dcf4f51a59c0f6c65bad1a8
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 6, Iss 1, p 8 (2017)
Monitoring, response, mitigation and damage assessment of disasters places a wide variety of demands on the spatial and temporal resolutions of remote sensing images. Images are divided into tile pyramids by data sources or resolutions and published
Externí odkaz:
https://doaj.org/article/236673b95b354905a6be5374092b5afb
Publikováno v:
Symmetry
Volume 12
Issue 2
Symmetry, Vol 12, Iss 2, p 199 (2020)
Volume 12
Issue 2
Symmetry, Vol 12, Iss 2, p 199 (2020)
Multi-source spatio-temporal data analysis is an important task in the development of smart cities. However, traditional data analysis methods cannot adapt to the growth rate of massive multi-source spatio-temporal data and explain the practical sign
Publikováno v:
Environmental Modelling & Software. 91:111-126
The flood disaster management system (FDMS) is a platform developed to provide ongoing disaster reduction capabilities that cover the entire process of flood management. The ontology-based approach links environmental models with disaster-related dat
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W3, Pp 179-186 (2015)
With the rapid development of sensor networks and Earth observation technology, a large quantity of disaster-related data is available, such as remotely sensed data, historic data, cases data, simulation data, disaster products and so on. However, th
Publikováno v:
ISPRS International Journal of Geo-Information; Volume 6; Issue 1; Pages: 8
ISPRS International Journal of Geo-Information, Vol 6, Iss 1, p 8 (2017)
ISPRS International Journal of Geo-Information, Vol 6, Iss 1, p 8 (2017)
Monitoring, response, mitigation and damage assessment of disasters places a wide variety of demands on the spatial and temporal resolutions of remote sensing images. Images are divided into tile pyramids by data sources or resolutions and published