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   Articles with "endmember" as a keyword



Evidence for a ‘third’ endmember of the Unzen 1991–1995 eruption from amphibole thermometry and crystal clots

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recommendations! Published in 2020 at "Journal of Volcanology and Geothermal Research"

DOI: 10.1016/j.jvolgeores.2020.106833

Abstract: Abstract Amphibole phenocrysts and crystal clots composed of amphibole, plagioclase, and interstitial glass were observed in dacitic products of the Unzen 1991–1995 eruption and analyzed in order to understand pre-eruptive magmatic processes. Amphibole phenocrysts in… read more here.

Keywords: unzen 1991; endmember magma; 1995 eruption; endmember ... See more keywords

Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3121799

Abstract: The complex nature of hyperspectral images makes the analysis of spectral signatures a challenging task in remote sensing. For quantitative analysis, spectral unmixing is a well-established and effective tool to analyze the spectra and spatial… read more here.

Keywords: endmember variability; probabilistic generative; variability; endmember ... See more keywords

Fast Orthogonal Projection for Hyperspectral Unmixing

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3150263

Abstract: Spectral unmixing plays a vital role in hyperspectral image analysis. It mainly consists of two procedures, i.e., endmember extraction and abundance estimation. Although most algorithms for each of the two procedures may exhibit good performance,… read more here.

Keywords: matrix; projection; abundance; endmember ... See more keywords

Endmember Purification With Affine Simplicial Cone Model

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3228231

Abstract: An important task of spectral unmixing is to recover the signatures of endmembers from a hyperspectral dataset in which no pure signature is exposed. Most algorithms are based on linear mixing model and require that… read more here.

Keywords: endmember purification; simplicial cone; endmember; model ... See more keywords

An Endmember-Oriented Transformer Network for Bundle-Based Hyperspectral Unmixing

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3530642

Abstract: In recent years, researchers have focused on mitigating the impact of spectral variability (SV) on unmixing performance, leading to the development of various deep-learning-based unmixing networks. Currently, most unmixing networks that account for SV mainly… read more here.

Keywords: endmember specific; endmember; endmember oriented; oriented transformer ... See more keywords