Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Guxi Wang"'
Publikováno v:
IEEE Access, Vol 8, Pp 102935-102946 (2020)
Hyperspectral data have been widely used in various fields due to its rich spectral and spatial information in recent years. Yet, hyperspectral images are always tainted by a variety of mixed noises. These noises seriously limit the accuracy of subse
Externí odkaz:
https://doaj.org/article/679502beae7d4058863f4486f0b7ec31
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5704-5718 (2020)
In recent years, sparse unmixing has attracted significant attention, as it can effectively avoid the bottleneck problems associated with the absence of pure pixels and the estimation of the number of endmembers in hyperspectral scenes. The joint-spa
Externí odkaz:
https://doaj.org/article/bdd3f929f7de4b1a969c77c9b620979d
Publikováno v:
Chinese Geographical Science. 31:539-557
This study analyzed the spatio-temporal variability of air quality data for six standard air pollutants (Particulate Matter 2.5 (PM2.5), Particulate Matter 10 (PM10), SO2, NO2, CO, and O3) in the Sichuan Basin (SCB), China from 2015 to 2018 in relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c28b82f3c5216af61d745d785896773
https://doi.org/10.1007/s11769-021-1209-5
https://doi.org/10.1007/s11769-021-1209-5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5704-5718 (2020)
In recent years, sparse unmixing has attracted significant attention, as it can effectively avoid the bottleneck problems associated with the absence of pure pixels and the estimation of the number of endmembers in hyperspectral scenes. The joint-spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e249f190b67e6478d90ab4df2e33d9a
https://doi.org/10.1109/jstars.2020.3021520
https://doi.org/10.1109/jstars.2020.3021520
Publikováno v:
IEEE Access, Vol 8, Pp 102935-102946 (2020)
Hyperspectral data have been widely used in various fields due to its rich spectral and spatial information in recent years. Yet, hyperspectral images are always tainted by a variety of mixed noises. These noises seriously limit the accuracy of subse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baf3f212266a804384bf2dcf92623587
https://doi.org/10.1109/access.2020.2996303
https://doi.org/10.1109/access.2020.2996303
Publikováno v:
Applied Geochemistry. 124:104843
Separating geochemical anomalies from background values is crucial for the processing of geochemical data. In the present study, a workflow for identifying geochemical anomalies was constructed by using the direct sampling algorithm of multi-point ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9a1b5ef7f17695e611c7915de6b3818
https://doi.org/10.1016/j.apgeochem.2020.104843
https://doi.org/10.1016/j.apgeochem.2020.104843
Publikováno v:
Mathematical Problems in Engineering, Vol 2015 (2015)
Seismic data processing is an important aspect to improve the signal to noise ratio. The main work of this paper is to combine the characteristics of seismic data, using wavelet transform method, to eliminate and control such random noise, aiming to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b9e80aa2fa5d376fccc7ed446e42034
https://doaj.org/article/636ac9dccdc546db955f85559fbca069
https://doaj.org/article/636ac9dccdc546db955f85559fbca069