A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing | Paper Citation Record

Observation 7fd466cb-b54f-4841-85dc-7f4ae456b899 · outbound

This paper cites Hyperspectral remote sensing data analysis and future challenges,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Hyperspectral remote sensing data analysis and future challenges,

Reference 1

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Observation eaf58cb8-8911-4e35-b9f3-75c0806af737 · outbound

This paper cites Nonlinear unmixing of hyperspectral images: Models and algorithms,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonlinear unmixing of hyperspectral images: Models and algorithms,

Reference 2

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Observation e8d5721a-0545-44e3-92a3-6a41b5c6e2b5 · outbound

This paper cites Nonparametric detection of nonlinearly mixed pixels and endmember estimation in hyperspectral images,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonparametric detection of nonlinearly mixed pixels and endmember estimation in hyperspectral images,

Reference 3

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Observation 95a6f21e-db92-4a73-a41f-bb80d4daa5ce · outbound

This paper cites Endmember variability in spectral mixture analysis: A review,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Endmember variability in spectral mixture analysis: A review,

Reference 4

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Observation 8883c18c-433e-4af3-9a76-9f60d3195183 · outbound

This paper cites Generalized linear mixing model accounting for endmember variability,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Generalized linear mixing model accounting for endmember variability,

Reference 5

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Observation 0309ce76-d84b-4004-96bf-bffb59870eab · outbound

This paper cites Super-resolution for hyperspectral and multispectral image fusion accounting for seasonal spectral variability,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Super-resolution for hyperspectral and multispectral image fusion accounting for seasonal spectral variability,

Reference 6

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Observation c725ef3d-6dfe-4b72-88cb-049f3fe0b1ff · outbound

This paper cites Deep generative endmember modeling: An application to un- supervised spectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Deep generative endmember modeling: An application to un- supervised spectral unmixing,

Reference 7

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Observation 8110685d-4118-477d-b658-512b734295cc · outbound

This paper cites Deep generative models for library augmentation in multiple endmember spectral mixture analysis,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Deep generative models for library augmentation in multiple endmember spectral mixture analysis,

Reference 8

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Observation c666291b-7ceb-4da0-9e3c-9e7fd1483f34 · outbound

This paper cites Nonlinear spectral mixing in desert vegetation,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonlinear spectral mixing in desert vegetation,

Reference 10

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Observation c66c5536-1e66-49a9-ae4d-56cc1fcf22eb · outbound

This paper cites A review of nonlinear hyperspec- tral unmixing methods,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A review of nonlinear hyperspec- tral unmixing methods,

Reference 11

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Observation a12a7fe4-3595-4835-92a9-c925f3fd01ed · outbound

This paper cites Photometric phase functions of common geologic minerals and applications to quantitative analysis of mineral mixture reﬂectance spectra,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Photometric phase functions of common geologic minerals and applications to quantitative analysis of mineral mixture reﬂectance spectra,

Reference 12

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Observation c0af91f6-3c15-4558-b1b0-7dfc35f89873 · outbound

This paper cites A quantitative and comparative analysis of linear and nonlinear spectral mixture models using radial basis function neural networks,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A quantitative and comparative analysis of linear and nonlinear spectral mixture models using radial basis function neural networks,

Reference 13

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Observation 10d5cbec-0c4b-4a07-b2e9-b4ac472b9ca7 · outbound

This paper cites Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hy- perspectral imagery,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Supervised nonlinear spectral unmixing using a postnonlinear mixing model for hy- perspectral imagery,

Reference 14

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Observation dcd6b4e0-0d07-46db-a1ce-ae4f054fc1c2 · outbound

This paper cites Abundance estimation from hyperspec- tral image based on probabilistic outputs of multi-class support vector machines,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Abundance estimation from hyperspec- tral image based on probabilistic outputs of multi-class support vector machines,

Reference 15

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Observation 77acbffc-afed-4a97-8cd5-c98605066e1d · outbound

This paper cites Non-linear spectral unmixing by geodesic simplex volume maximization,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Non-linear spectral unmixing by geodesic simplex volume maximization,

Reference 16

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Observation e7fbd4ee-0bd6-4624-9404-d2800ffd7276 · outbound

This paper cites A distance geometric framework for nonlinear hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A distance geometric framework for nonlinear hyperspectral unmixing,

Reference 17

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Observation 2ed1cbd0-d4ee-4a26-9c3b-9529d20306c4 · outbound

This paper cites A kernel spatial complexity-based nonlinear unmixing method of hyperspectral imagery,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A kernel spatial complexity-based nonlinear unmixing method of hyperspectral imagery,

Reference 18

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Observation 334822d2-9219-48fa-91e6-e09e8162fb0f · outbound

This paper cites Blind nonlinear hyperspectral unmixing based on constrained kernel nonnegative matrix factorization,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Blind nonlinear hyperspectral unmixing based on constrained kernel nonnegative matrix factorization,

Reference 19

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Observation 97d7a2ab-7d13-4554-9c9c-802e1cb02285 · outbound

This paper cites Nonlinear unmixing of hyperspec- tral data based on a linear-mixture/nonlinear-ﬂuctuation model,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonlinear unmixing of hyperspec- tral data based on a linear-mixture/nonlinear-ﬂuctuation model,

Reference 20

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Observation 687e25b4-d780-49df-a488-791660455946 · outbound

This paper cites Nonlinear estimation of material abundances in hyperspectral images with 𝓁1-norm spatial regularization,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonlinear estimation of material abundances in hyperspectral images with 𝓁1-norm spatial regularization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.712529Z

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Observation de821871-9ba7-4a27-8298-a1681bf0e222 · outbound

This paper cites Nonlin- ear spectral unmixing of hyperspectral images using gaussian processes,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonlin- ear spectral unmixing of hyperspectral images using gaussian processes,

Reference 22

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Observation 45c17a8c-7dfc-4fc0-8c8f-55ab5f2b10be · outbound

This paper cites Nonlinear unmixing of hyperspectral data with vector-valued kernel functions,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonlinear unmixing of hyperspectral data with vector-valued kernel functions,

Reference 23

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Observation ae8ab53c-ad87-4995-be22-b482835f5e79 · outbound

This paper cites Incorporating spatial information in spectral unmixing: A review,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Incorporating spatial information in spectral unmixing: A review,

Reference 24

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Observation 37504439-33d5-4692-9539-41f68235ea3e · outbound

This paper cites A low-rank tensor regularization strategy for hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A low-rank tensor regularization strategy for hyperspectral unmixing,

Reference 25

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Observation 57aa29df-05c7-499d-9ba7-e709c2ba0d71 · outbound

This paper cites Total variation spatial regularization for sparse hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Total variation spatial regularization for sparse hyperspectral unmixing,

Reference 26

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Observation b1943470-4983-4c97-90e1-98183edf2ebf · outbound

This paper cites Adaptive spatial regularization sparse unmixing strategy based on joint MAP for hyperspectral remote sensing imagery,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Adaptive spatial regularization sparse unmixing strategy based on joint MAP for hyperspectral remote sensing imagery,

Reference 27

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Observation 126ef9af-1cfe-4c1b-bbd9-10af1daf6103 · outbound

This paper cites Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability,

Reference 28

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Observation c4e66cde-2b07-4e5e-8855-8f9e268a8e32 · outbound

This paper cites Low-rank tensor modeling for hyperspectral unmixing accounting for spectral variability,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Low-rank tensor modeling for hyperspectral unmixing accounting for spectral variability,

Reference 29

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Observation 10c5c49b-c4a3-48c5-b761-c0905e535769 · outbound

This paper cites Improved hyperspectral unmixing with endmember variability parametrized using an interpolated scaling tensor,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Improved hyperspectral unmixing with endmember variability parametrized using an interpolated scaling tensor,

Reference 30

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Observation a2673d55-55c5-4c47-b946-19b5afb119b5 · outbound

This paper cites An augmented linear mixing model to address spectral variability for hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing An augmented linear mixing model to address spectral variability for hyperspectral unmixing,

Reference 31

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Observation ce33873b-ec3c-4374-b4c6-aa64a023ef18 · outbound

This paper cites Sulora: Subspace unmixing with low-rank attribute embedding for hyperspectral data analysis,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Sulora: Subspace unmixing with low-rank attribute embedding for hyperspectral data analysis,

Reference 32

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Observation 6d6bc73a-3348-4aaf-9e51-21b61af4c6cc · outbound

This paper cites Relationships between nonlinear and space-variant linear models in hyperspectral image unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Relationships between nonlinear and space-variant linear models in hyperspectral image unmixing,

Reference 33

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Observation 30116281-04c1-4107-b464-d51e265aa0f5 · outbound

This paper cites Integrating spatial information in the normalized p-linear algorithm for nonlinear hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Integrating spatial information in the normalized p-linear algorithm for nonlinear hyperspectral unmixing,

Reference 34

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Observation c2091bf0-b463-4c4e-a622-bcf2e8ab317f · outbound

This paper cites Nonlinear estimation of material abundances in hyperspectral images with L1-norm spatial regulariza- tion,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonlinear estimation of material abundances in hyperspectral images with L1-norm spatial regulariza- tion,

Reference 35

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Observation 15eba170-1db0-491c-936c-caf240f37c83 · outbound

This paper cites Centralized collaborative sparse unmixing for hyperspectral images,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Centralized collaborative sparse unmixing for hyperspectral images,

Reference 36

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Observation fd102480-61d9-441d-b695-7fd8292fe0a1 · outbound

This paper cites Nonconvex-sparsity and nonlocal-smoothness-based blind hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonconvex-sparsity and nonlocal-smoothness-based blind hyperspectral unmixing,

Reference 37

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Observation 4da485d9-8342-4b97-b29b-cd264ad6e96f · outbound

This paper cites Manifold regularized sparse NMF for hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Manifold regularized sparse NMF for hyperspectral unmixing,

Reference 38

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Observation b59a8732-e6bc-4284-bf7c-9265cf35d688 · outbound

This paper cites A graph laplacian regular- ization for hyperspectral data unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A graph laplacian regular- ization for hyperspectral data unmixing,

Reference 39

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Observation be5866ea-0d81-4546-b3d8-14f95123793e · outbound

This paper cites A fast multiscale spatial regularization for sparse hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A fast multiscale spatial regularization for sparse hyperspectral unmixing,

Reference 40

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Observation 75576035-674d-4629-805d-5a9b52071bbd · outbound

This paper cites A data dependent multiscale model for hyperspectral unmixing with spectral variability,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A data dependent multiscale model for hyperspectral unmixing with spectral variability,

Reference 41

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Observation 9f58d9a2-cbb7-4cf2-ad48-4a5868234c00 · outbound

This paper cites Regularization pa- rameter estimation for non-negative hyperspectral image deconvolution,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Regularization pa- rameter estimation for non-negative hyperspectral image deconvolution,

Reference 42

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This paper cites Functions of positive and negative type and their connection with the theory of integral equations,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Functions of positive and negative type and their connection with the theory of integral equations,

Reference 43

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Observation 841edcc5-8c92-495f-a6cf-af03e6ef06ad · outbound

This paper cites On properly positive hermitian matrices,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing On properly positive hermitian matrices,

Reference 44

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This paper cites Theory of reproducing kernels,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Theory of reproducing kernels,

Reference 45

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Observation f8dc2bac-a160-4107-ab20-9c91033530bf · outbound

This paper cites Kreyszig, Introductory functional analysis with applications.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Kreyszig, Introductory functional analysis with applications

Reference 46

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Observation 9ba76fe3-8e7a-4daa-ac1d-a51fb36ae979 · outbound

This paper cites Steinwart and A.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Steinwart and A

Reference 47

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A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Unresolved cited work

Reference 48

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This paper cites Schölkopf and A.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Schölkopf and A

Reference 49

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A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Unresolved cited work

Reference 50

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Observation f495784d-0e97-4c14-9662-a0f249269c69 · outbound

This paper cites Nonlinear hyperspectral mixture analysis for tree cover estimates in orchards,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Nonlinear hyperspectral mixture analysis for tree cover estimates in orchards,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.285197Z

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Observation 19becc5d-ae2e-4062-9797-4ee185e4dfa4 · outbound

This paper cites an unresolved cited work.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:37:23.270795Z

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Observation bd11f204-bb4f-47a2-9182-60c3339b61a3 · outbound

This paper cites Spectral-density- based graph construction techniques for hyperspectral image analysis,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Spectral-density- based graph construction techniques for hyperspectral image analysis,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.255939Z

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Observation 05ee6025-2fbd-4749-aa02-78b3fc8ba70d · outbound

This paper cites SLIC superpixels compared to state-of-the-art superpixel methods,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing SLIC superpixels compared to state-of-the-art superpixel methods,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.241282Z

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Observation 98a48270-beb5-4477-bb39-2e9d1890065e · outbound

This paper cites Boundary extraction in natural images using ultrametric contour maps,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Boundary extraction in natural images using ultrametric contour maps,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.226563Z

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Observation 25c421ba-c378-4e68-a073-7206d5047135 · outbound

This paper cites Hyperspectral image segmentation using a new spectral unmixing-based binary partition tree representation,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Hyperspectral image segmentation using a new spectral unmixing-based binary partition tree representation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.211782Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e3dabaf-9876-4183-bfcc-a4ea55f9f986 · outbound

This paper cites Spatial group sparsity reg- ularized nonnegative matrix factorization for hyperspectral unmixing,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Spatial group sparsity reg- ularized nonnegative matrix factorization for hyperspectral unmixing,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.197590Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c598dc20-38e4-429a-a5c6-cbe893c52005 · outbound

This paper cites Generalized cross-validation as a method for choosing a good ridge parameter,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Generalized cross-validation as a method for choosing a good ridge parameter,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.183169Z

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Observation 876b7899-04c2-4b32-be9a-fca64b12725f · outbound

This paper cites Stein Unbiased GrA- dient estimator of the Risk (SUGAR) for multiple parameter selection,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Stein Unbiased GrA- dient estimator of the Risk (SUGAR) for multiple parameter selection,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.168343Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3af23e6c-ac58-4371-a5de-f5a9677a74e3 · outbound

This paper cites ADA-PT: An adaptive parameter tuning strategy based on the weighted stein unbiased risk estimator,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing ADA-PT: An adaptive parameter tuning strategy based on the weighted stein unbiased risk estimator,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.153267Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f6556d9-b7fc-47ab-be7c-b1bc44a28675 · outbound

This paper cites Efﬁcient determination of multiple regularization parameters in a generalized L-curve framework,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Efﬁcient determination of multiple regularization parameters in a generalized L-curve framework,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.137817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4e531af-d0df-4de5-b454-ace01e5e25d0 · outbound

This paper cites Common structure of techniques for choosing smoothing parameters in regression problems,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Common structure of techniques for choosing smoothing parameters in regression problems,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.123071Z

Source-reported events for the cited work

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Observation 216f1295-cb84-4de1-8bc6-4faa5fd0c5c4 · outbound

This paper cites A study of methods of choosing the smoothing parameter in image restoration by regularization,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A study of methods of choosing the smoothing parameter in image restoration by regularization,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.107220Z

Source-reported events for the cited work

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Observation abf3ff2f-6919-4c5e-af58-bb82319e6342 · outbound

This paper cites Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.089651Z

Source-reported events for the cited work

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Observation abb77dc9-b3ab-451a-bf39-46a6507e7ac1 · outbound

This paper cites an unresolved cited work.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:37:23.075422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0dcbf6ed-a358-481d-8c59-4b4cd0f01236 · outbound

This paper cites The application of constrained least squares estimation to image restoration by digital computer,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing The application of constrained least squares estimation to image restoration by digital computer,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.060837Z

Source-reported events for the cited work

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Observation 4b43abf0-9a8b-43b1-a355-fa6138557f06 · outbound

This paper cites Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Bayesian nonlinear hyperspectral unmixing with spatial residual component analysis,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.045661Z

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Observation 3d83946f-d380-40f7-a24e-e8538fbee452 · outbound

This paper cites Spatial regularization for nonlinear unmixing of hyperspectral data with vector- valued kernel functions,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Spatial regularization for nonlinear unmixing of hyperspectral data with vector- valued kernel functions,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.030645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ac33ff3-586f-4d81-8077-2f9b32360b1b · outbound

This paper cites Boyd and L.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Boyd and L

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-14T12:37:22.617447Z

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Observation 389c08e4-1652-4c84-b804-128fd6fdcaad · outbound

This paper cites Generalized S-lemma and strong duality in nonconvex quadratic programming,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Generalized S-lemma and strong duality in nonconvex quadratic programming,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:23.004382Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d9454fa9-6714-47a0-a34e-8cb6a858c638 · outbound

This paper cites A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:37:22.713895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 256d49a7-e63f-4694-9a2a-a78590badf70 · outbound

This paper cites The multivariate bisection algorithm,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing The multivariate bisection algorithm,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:22.988711Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 00430881-745c-4112-9182-145b6009f14f · outbound

This paper cites Bisection method in higher dimensions and the efﬁciency number,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Bisection method in higher dimensions and the efﬁciency number,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:22.974079Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 708bae1a-556d-43bf-ad71-1d0e4c6f88a8 · outbound

This paper cites Low-dimensional enhanced superpixel representation with homogeneity testing for unmixing of hyperspectral imagery,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Low-dimensional enhanced superpixel representation with homogeneity testing for unmixing of hyperspectral imagery,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:22.959039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab077eb4-bc18-4ff8-828c-7ab1fedb0ffe · outbound

This paper cites Hyperspectral unmixing in presence of endmember variability, nonlinearity, or mismodeling effects,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Hyperspectral unmixing in presence of endmember variability, nonlinearity, or mismodeling effects,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:22.943391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e70cdfd-266f-440c-868b-2bb40321bfa2 · outbound

This paper cites Principal components transform with simple, automatic noise adjustment,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Principal components transform with simple, automatic noise adjustment,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:22.928345Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4242f246-177b-472f-b4f8-58866ad9c98b · outbound

This paper cites Modiﬁed residual method for the estimation of noise in hyperspectral images.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Modiﬁed residual method for the estimation of noise in hyperspectral images

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:22.912727Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ec0dd0eb-1fa0-4aed-88a2-670ffeb63a1f · outbound

This paper cites Vertex Component Anal- ysis: A fast algorithm to unmix hyperspectral data,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Vertex Component Anal- ysis: A fast algorithm to unmix hyperspectral data,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:22.896355Z

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Observation 77fe6668-a75b-4f78-b156-befb135db455 · outbound

This paper cites Strong duality for the CDT subproblem: a necessary and sufﬁcient condition,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Strong duality for the CDT subproblem: a necessary and sufﬁcient condition,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:37:22.880620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6196b93-0a83-4203-905d-c32b6443634e · outbound

This paper cites Copositive relaxation beats Lagrangian dual bounds in quadratically and linearly constrained quadratic optimization problems,.

A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing Copositive relaxation beats Lagrangian dual bounds in quadratically and linearly constrained quadratic optimization problems,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-14T12:37:22.666794Z

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