Results 11 to 20 of about 763 (175)
Endmember-Free Hyperspectral Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingUnmixing networks for hyperspectral images (HSIs) often need to be redesigned for each sensor and initialized with endmember-estimation algorithms, which limits cross-scene generalization.
Baisen Liu +6 more
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ENDMEMBER EXTRACTION ON THE GRASSMANNIAN [PDF]
2018 IEEE Data Science Workshop (DSW), 2018 Endmember extraction plays a prominent role in a variety of data analysis problems as endmembers often correspond to data representing the purest or best representative of some feature. Identifying endmembers then can be useful for further identification and classification tasks. In settings with high-dimensional data, such as hyperspectral imagery, it
Elin Farnell +3 more
openaire +2 more sources
Pressure‐Induced sp 2 ‐sp 3 Transitions in Carbon‐Bearing Phases
Geophysical Monograph Series, Page 1-9., 2020 This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Sergey S. Lobanov +1 more
wiley +4 more sources
Frontiers in Earth Science, 2021 Methane (CH4) is an important component of the carbon (C) cycling in lakes. CH4 production enables carbon in sediments to be either reintroduced to the food web via CH4 oxidation or emitted as a greenhouse gas making lakes one of the largest natural ...
Jonathan Schenk +9 more
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Land, 2022 Riparian forests are critical for carbon storage, biodiversity, and river water quality. There has been an increasing use of very-high-spatial-resolution (VHR) unmanned aircraft systems (UAS)-based remote sensing for riparian forest mapping. However, for
Anthony M. Filippi +5 more
doaj +1 more source
Geo-spatial Information Science, 2022 Impervious surface mapping is essential for urban environmental studies. Spectral Mixture Analysis (SMA) and its extensions are widely employed in impervious surface estimation from medium-resolution images.
Zhenfeng Shao +4 more
doaj +1 more source
Remote Sensing, 2020 Accounting for endmember variability is a challenging issue when unmixing hyperspectral data. This paper models the variability that is associated with each endmember as a conical hull defined by extremal pixels from the data set.
Tatsumi Uezato +2 more
doaj +1 more source
Remote Sensing, 2021 With the improvement of spatial resolution of hyperspectral remote sensing images, the influence of spectral variability is gradually appearing in hyperspectral unmixing.
Chuanlong Ye +5 more
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An Experimental Study on the Effects of Noise on Endmember Extraction Methods
Canadian Journal of Remote Sensing, 2022 Endmember extraction is frequently adopted to detect spectrally unique signatures of pure materials in the scene of hyperspectral imagery (HSI). In this paper, we investigate the effects of noise on seven widely used endmember extraction methods.
Guangyi Chen, Adam Krzyzak, Shen-En Qian
doaj +1 more source
Spatial Potential Energy Weighted Maximum Simplex Algorithm for Hyperspectral Endmember Extraction
Remote Sensing, 2022 Most traditional endmember extraction algorithms focus on spectral information, which limits the effectiveness of endmembers. This paper develops a spatial potential energy weighted maximum simplex algorithm (SPEW) for hyperspectral endmember extraction,
Meiping Song +3 more
doaj +1 more source