Endmember Estimation with Maximum Distance Analysis
Remote Sensing, 2021 Endmember estimation plays a key role in hyperspectral image unmixing, often requiring an estimation of the number of endmembers and extracting endmembers.
Xuanwen Tao +5 more
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ISPRS International Journal of Geo-Information, 2017 The current methods that use hyperspectral remote sensing imagery to extract and monitor marine oil spills are quite popular. However, the automatic extraction of endmembers from hyperspectral imagery remains a challenge. This paper proposes a data field-
Can Cui +3 more
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A New Endmember Extraction Method Based on Least Squares
Canadian Journal of Remote Sensing, 2022 Endmember extraction is frequently adopted to detect spectrally unique signatures of pure ground materials in hyperspectral imagery. These endmembers are the purest pixels in the HSI data cubes. Every pixel in a HSI data cube can be expressed as a linear
Guangyi Chen, Adam Krzyzak, Shen-En Qian
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Remote Sensing, 2022 In this work, we introduce a novel, distributed version of the N-FINDR endmember extraction algorithm, which is able to exploit computer cluster resources in order to efficiently process large volumes of hyperspectral data.
Victor Andres Ayma Quirita +2 more
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Geophysical Monograph Series, Page 153-168., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Yuem Park +3 more
wiley +1 more source
Geophysical Monograph Series, Page 137-165., 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 ...
Konstantin Litasov +3 more
wiley +2 more sources
Quadratic Clustering-Based Simplex Volume Maximization for Hyperspectral Endmember Extraction
Applied Sciences, 2022 The existence of intra-class spectral variability caused by differential scene components and illumination conditions limits the improvement of endmember extraction accuracy, as most endmember extraction algorithms directly find pixels in the ...
Xiangyue Zhang, Yueming Wang, Tianru Xue
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Comparison of VCA and GAEE algorithms for Endmember Extraction [PDF]
2018 IEEE Congress on Evolutionary Computation (CEC), 2018 Endmember Extraction is a critical step in hyperspectral image analysis and classification. It is an useful method to decompose a mixed spectrum into a collection of spectra and their corresponding proportions. In this paper, we solve a linear endmember extraction problem as an evolutionary optimization task, maximizing the Simplex Volume in the ...
Douglas Winston R. S. +2 more
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Unsupervised endmember extraction of martian hyperspectral images [PDF]
2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009 In this paper, we try to identify and quantify the chemical species present on the surface of planet Mars with the help of hyperspectral images provided by the instrument OMEGA [1]. For this purpose, we suppose that the spectrum of each pixel is a linear mixture of the spectra of different endmembers.
Bin Luo 0005 +3 more
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A Novel Hyperspectral Endmember Extraction Algorithm Based on Online Robust Dictionary Learning
Remote Sensing, 2019 Due to the sparsity of hyperspectral images, the dictionary learning framework has been applied in hyperspectral endmember extraction. However, current endmember extraction methods based on dictionary learning are not robust enough in noisy environments.
Xiaorui Song, Lingda Wu
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