Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maofeng Tang"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103872- (2024)
As an invasive plant species with wide ecological tolerance and fast infestation, kudzu has posed persistent challenges to the ecosystem and economy in the southeastern United States. However, current studies on kudzu mapping and invasive mechanisms
Externí odkaz:
https://doaj.org/article/308943c8ad314c5485c023bb6b299b5e
Phenology and Spectral Unmixing-Based Invasive Kudzu Mapping: A Case Study in Knox County, Tennessee
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4551 (2021)
As an invasive plant species, kudzu has been spreading rapidly in the Southeastern United States in recent years. Accurate mapping of kudzu is critical for effective invasion control and management. However, the remote detection of kudzu distribution
Externí odkaz:
https://doaj.org/article/1ffe695dfc664900ac5d6706dc1b70a7
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 182 (2021)
Turbidity is an important indicator of riverine conditions, especially in a fragile environment such as the Tibetan Plateau. Remote sensing, with the advantages of large-scale observations, has been widely applied to monitor turbidity change in lakes
Externí odkaz:
https://doaj.org/article/55034fc272c54141b7db157996bd43b3
Phenology and Spectral Unmixing-Based Invasive Kudzu Mapping: A Case Study in Knox County, Tennessee
Publikováno v:
Remote Sensing; Volume 13; Issue 22; Pages: 4551
Remote Sensing, Vol 13, Iss 4551, p 4551 (2021)
Remote Sensing, Vol 13, Iss 4551, p 4551 (2021)
As an invasive plant species, kudzu has been spreading rapidly in the Southeastern United States in recent years. Accurate mapping of kudzu is critical for effective invasion control and management. However, the remote detection of kudzu distribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::490ba7c6c510f3ff70e52dd7a0b17d4e
Publikováno v:
IGARSS
Hyperspectral nonlinear unmixing (HNU) is an extremely challenging problem as it is very difficult, if possible at all, to derive an explicit model to describe the underlying nonlinear mixing process. This paper gives the first attempt to tackle this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be40853477c7cd651536d3efbaad8808
https://doi.org/10.1109/igarss39084.2020.9324087
https://doi.org/10.1109/igarss39084.2020.9324087
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 15:1765-1769
In this letter, a new method for higher order nonlinear hyperspectral unmixing is introduced. The proposed scheme relies on the harmonic description of the endmembers contributions to characterize the interactions among the materials showing up in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa936036574c9703ccb103ef9fdf2d48
https://doi.org/10.1109/lgrs.2018.2856406
https://doi.org/10.1109/lgrs.2018.2856406
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11:1179-1190
To efficiently model high-order nonlinear material mixtures in complex scenery, more and more complex spectral mixing models have been developed, so that over-fitting phenomena more often occur during the unmixing process. Therefore, the accurate and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::460ae5c46b02f0a1fe738b876c24946a
https://doi.org/10.1109/jstars.2017.2771482
https://doi.org/10.1109/jstars.2017.2771482
Publikováno v:
IGARSS
This paper proposes a new supervised hyperspectral nonlinear unmixing method based on normalization. The main contribution is presented by reducing the overfitting of model and taking account to spatial correlation, using the normalization. The l 2 -
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6e15784356af935e15a2afe5c0f1c86
https://doi.org/10.1109/igarss.2017.8127160
https://doi.org/10.1109/igarss.2017.8127160