Spectral weighted sparse unmixing based on adaptive total variation and low-rank constraints [PDF]
Scientific ReportsHyperspectral sparse unmixing, an image processing technique, leverages a spectral library enriched with endmember spectral information as a prerequisite.
Chenguang Xu
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SUnAA: Sparse Unmixing Using Archetypal Analysis [PDF]
IEEE Geoscience and Remote Sensing Letters, 2023 This letter introduces a new sparse unmixing technique using archetypal analysis (SUnAA). First, we design a new model based on archetypal analysis (AA).
Behnood Rasti +3 more
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Robust Dual Spatial Weighted Sparse Unmixing for Remotely Sensed Hyperspectral Imagery
Remote Sensing, 2023 Sparse unmixing plays a crucial role in the field of hyperspectral image unmixing technology, leveraging the availability of pre-existing endmember spectral libraries.
Chengzhi Deng +7 more
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Robust Double Spatial Regularization Sparse Hyperspectral Unmixing [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 With the help of endmember spectral library, sparse unmixing techniques have been successfully applied to hyperspectral image interpretation. The inclusion of spatial information in the sparse unmixing significantly improves the resulting fractional ...
Fan Li +5 more
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Spectral library and method for sparse unmixing of hyperspectral images in fluorescence guided resection of brain tumors. [PDF]
Biomed Opt ExpressThrough spectral unmixing, hyperspectral imaging (HSI) in fluorescence-guided brain tumor surgery has enabled the detection and classification of tumor regions invisible to the human eye.
Black D +4 more
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Manifold regularization for sparse unmixing of hyperspectral images. [PDF]
Springerplus, 2016 Recently, sparse unmixing has been successfully applied to spectral mixture analysis of remotely sensed hyperspectral images. Based on the assumption that the observed image signatures can be expressed in the form of linear combinations of a number of pure spectral signatures known in advance, unmixing of each mixed pixel in the scene is to find an ...
Liu J, Zhang C, Zhang J, Li H, Gao Y.
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn recent years, hyperspectral sparse unmixing (HSU) has garnered extensive research and attention due to its unique characteristic of not requiring the estimation of endmembers and their number.
Kewen Qu +3 more
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IVIU-Net: Implicit Variable Iterative Unrolling Network for Hyperspectral Sparse Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 At present, an emerging technique called the algorithm unrolling approach has attracted wide attention, because it is capable of developing efficient and interpretable layers to eliminate the black-box nature of deep learning (DL).
Yuantian Shao, Qichao Liu, Liang Xiao
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Spatial Structural Priors for Sparse Unmixing of Remotely Sensed Hyperspectral Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAs spectral libraries continue to expand, sparse unmixing has become essential for effectively interpreting mixed pixels in remotely sensed hyperspectral data.
Shaoquan Zhang +8 more
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Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingWith the aid of endmember spectral libraries, sparse unmixing plays a critical role in interpreting hyperspectral remote sensing data. Integrating spatial clues from hyperspectral data into sparse unmixing frameworks is pivotal for enhancing unmixing ...
Ke Wang +7 more
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