International Soil and Water Conservation ResearchAccurate remote sensing retrieval of fractional vegetation cover (FVC) of photosynthetic vegetation (PV) and non-photosynthetic vegetation (NPV) is essential for assessing regional soil erosion.
Liang He +6 more
doaj +2 more sources
Hyperspectral unmixing with endmember variability using Partial Membership Latent Dirichlet Allocation [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and incorporates spatial information through the use of superpixel-based 'documents.' In our application of
Sheng Zou, Alina Zare
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral unmixing has attracted increasing attention in remote sensing applications. Unfortunately, significant unmixing residuals often arise from the coupled nonlinear mixing effects and spectral variability (SV), bringing challenges for reliably ...
Yi Zhao, Bin Yang
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Source Apportionment of Heavy Metals in Stream Sediments from the Hilly Western Wanda Mountains Based on PCA-APCS-MLR [PDF]
ToxicsThe hilly terrain at the western foot of the Wanda Mountains boasts intricate geological conditions, compounded by long-term mineral extraction and farming activities.
Xiangjin Yan +5 more
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A multiple endmember mixing model to handle spectral variability
, 2018 This paper proposes a novel mixing model that incorporates spectral variability. The proposed approach relies on the following two ingredients: i) a mixed spectrum is modeled as a combination of a few endmember signatures which belong to some endmember bundles (referred to as classes), ii) sparsity is promoted for the selection of both endmember ...
Uezato, Tatsumi +2 more
core +4 more sources
Spectral unmixing method considering endmember variability of vegetation
National Remote Sensing Bulletin, 2023 Qinhua WEI, Wenfei Luo, Kaifeng TANG
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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
Hyperspectral unmixing with shared endmember variability in homogeneous region [PDF]
Optics and Precision EngineeringNing Wang +3 more
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A Novel Hyperspectral Unmixing Method based on Least Squares Twin Support Vector Machines
European Journal of Remote Sensing, 2021 In hyperspectral images, endmembers characterizing one class of ground object may vary due to illumination, weathering, slight variations of the materials.
Liguo Wang +3 more
doaj +1 more source
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