Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Lianlian He"'
Autor:
Lianlian He, Ruixiang Liu
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 5, p 143 (2024)
The Web of Data has been fueled significantly by geospatial data over the last few years. In the current link discovery frameworks, there is still a lack of robust support for finding geospatial-aware links between geospatial data sources in the Web
Externí odkaz:
https://doaj.org/article/361ea71642984bf99cde3e7cdb94280b
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 4, p 106 (2024)
Recent advances in knowledge graphs show great promise to link various data together to provide a semantic network. Place is an important part in the big picture of the knowledge graph since it serves as a powerful glue to link any data to its georef
Externí odkaz:
https://doaj.org/article/8344993d20034ac08397a96c70590157
Autor:
Lianlian He, Ming Wang
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11657 (2023)
Downsampling, which aims to improve computational efficiency by reducing the spatial resolution of feature maps, is a critical operation in neural networks. Many downsampling methods have been proposed to address the challenge of retaining feature ma
Externí odkaz:
https://doaj.org/article/a29aa720b7fe466284c43792ee167d1f
Publikováno v:
Agro-Geoinformatics
With the capability to penetrate cloud cover in extreme weather conditions, Synthetic Aperture Radar (SAR) is more suitable for flood mapping in comparison to the optical sensor. In this paper, we develop a series of processing operators covering the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08a239be22744c74d5ea2185e0f737c
https://doi.org/10.1109/agro-geoinformatics50104.2021.9530305
https://doi.org/10.1109/agro-geoinformatics50104.2021.9530305
Publikováno v:
Agro-Geoinformatics
With the rapid development of remote sensing technologies, a growing number of high-resolution remote sensing images are providing more opportunities for detailed earth surface observation such as land-use classification, objects detection and land-c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6a803e16d1975f3cc42fb6bb8e91061
https://doi.org/10.1109/agro-geoinformatics50104.2021.9530292
https://doi.org/10.1109/agro-geoinformatics50104.2021.9530292
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 111:102830
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::507c335736d168a962f5fd5a4f7f271f
https://doi.org/10.1016/j.jag.2022.102830
https://doi.org/10.1016/j.jag.2022.102830
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 1907-1914 (2018)
A Modulation Transfer Function (MTF)-based fuzzy comprehensive evaluation method was proposed in this paper for the purpose of evaluating high-resolution satellite image quality. To establish the factor set, two MTF features and seven radiant feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db4dc375fd2b1ebdd6e85fd06f2b9792
https://doi.org/10.5194/isprs-archives-xlii-3-1907-2018
https://doi.org/10.5194/isprs-archives-xlii-3-1907-2018
Autor:
Peng Yue, Lianlian He
Publikováno v:
IGARSS
Geospatial technologies have been widely used to support decision making in natural disaster responses. There have been various efforts from multiple disasters to use geospatial information and models for disaster preparation, response, and resilienc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d651c1b9722e5eb2ce46f94010d53f74
https://doi.org/10.1109/igarss.2019.8898893
https://doi.org/10.1109/igarss.2019.8898893
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8:926-936
Geospatial data provenance records the derivation history of a geospatial data product. It is important in evaluating the quality of data products. In a Geospatial Web Service environment where data are often disseminated and processed widely and fre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2549dc387489eb3d8dbbb49a9614661
https://doi.org/10.1109/jstars.2014.2340737
https://doi.org/10.1109/jstars.2014.2340737