Results 11 to 20 of about 423,442 (225)
Remote SensingIn recent years, remarkable advancements have been achieved in hyperspectral unmixing (HU). Sparse unmixing, in which models mix pixels as linear combinations of endmembers and their corresponding fractional abundances, has become a dominant paradigm in ...
Kaijun Yang +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingImpervious surface abundance (ISA) is an important indicator for monitoring urbanization and environmental disaster management processes. Commonly used spectral unmixing techniques extract ISA in the form of mixed pixels; however, in previous ...
Yanze Liu +4 more
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A New Elbow Estimation Method for Selecting the Best Solution in Sparse Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The goal of hyperspectral image analysis is often to determine which materials, out of a given set of possibilities, are present in each pixel. As hyperspectral data are being gathered in rapidly increasing amounts, automatic image analysis is becoming ...
Risto Sarjonen, Tomi Raty
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MathematicsSparse unmixing (SU) has become a research hotspot in hyperspectral image (HSI) analysis in recent years due to its interpretable physical mechanisms and engineering practicality.
Kewen Qu +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe mixed pixel problem, arising from the complex vegetation types of peatlands, poses a significant challenge for remote sensing-based peatland mapping.
Yulin Xu, Xiaodong Na
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Multispectral Laser-Scanning Photoacoustic Microscopy With SRS-Generated Wavelengths for Skin Chromophore Characterization. [PDF]
J BiophotonicsUnmixed maps showing vascular oxygen saturation (sO2), relative collagen, and relative melanin distributions. Maps were extracted from multispectral imaging of B6 and SKH1 Nude mouse abdominal skin using the proposed MS‐LS‐PAM system. ABSTRACT We present a single pump‐source, multispectral laser‐scanning photoacoustic microscopy (MS‐LS‐PAM) platform ...
Khansari A +6 more
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A Hybrid Diffusion Model Enhances Multiparametric 3D Photoacoustic Computed Tomography. [PDF]
Adv Sci (Weinh)The hybrid diffusion PACT (HD‐PACT) system enhances dynamic multiparametric information using only 128–256 ultrasound elements. By overcoming limited‐view artifacts, HD‐PACT refines structural and functional information such as oxygen saturation observed in 3D premium PACT with > 1000 elements. Through cost‐effective and faster multiparametric imaging,
Jeong H +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Sparse unmixing with a semisupervised fashion has been applied to hyperspectral remote sensing imagery. However, the imprecise spatial contextual information, the lack of global feature and the high mutual coherences of a spectral library greatly limit ...
Hongjun Su +3 more
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Sparse Unmixing using Deep Convolutional Networks
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022 Abstract: This paper proposes a sparse unmixing technique using a convolutional neural network (SUnCNN). We reformulate the sparse unmixing problem into an optimization over the parameters of a convolutional network. Relying on a spectral library, the deep network learns in an unsuper-vised manner a mapping from a fixed input to the sparse abundances ...
Rasti, Behnood +2 more
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Proceedings of the 39th International Symposium on Symbolic and Algebraic Computation, 2014 Toric (or sparse) elimination theory is a framework developped during the last decades to exploit monomial structures in systems of Laurent polynomials. Roughly speaking, this amounts to computing in a \emph{semigroup algebra}, \emph{i.e.} an algebra generated by a subset of Laurent monomials. In order to solve symbolically sparse systems, we introduce
Faugère, Jean-Charles +2 more
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