Manifold regularization for sparse unmixing of hyperspectral images

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2193-1801

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Manifold regularization for sparse unmixing of hyperspectral images ; volume:5 ; number:1 ; day:24 ; month:11 ; year:2016 ; pages:1-27 ; date:12.2016
SpringerPlus ; 5, Heft 1 (24.11.2016), 1-27, 12.2016

Creator: Liu, Junmin

Contributor: Zhang, Chunxia
Zhang, Jiangshe
Li, Huirong
Gao, Yuelin
SpringerLink (Online service)

DOI: 10.1186/s40064-016-3671-6

URN: urn:nbn:de:1111-2016121520258

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:00 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Liu, Junmin
Zhang, Chunxia
Zhang, Jiangshe
Li, Huirong
Gao, Yuelin
SpringerLink (Online service)

Other Objects (12)

zweidimensionales bewegtes Bild

Manifold learning by sparse grid methods

zweidimensionales bewegtes Bild

Joint Sparse Recovery Through Manifold Optimization

Principal manifold learning by sparse grids

Manifold-based sparse representation for opinion mining

Hyperspectral image denoising and destriping based on sparse representation, graph Laplacian regularization and stripe low-rank property

Hochschulschrift

Sparse approximate inverses for preconditioning, smoothing, and regularization

Optimized sparse polynomial chaos expansion with entropy regularization

Hochschulschrift

Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization

Hochschulschrift

Sparse methods for hyperspectral unmixing and image fusion

A manifold-based approach to sparse global constraint satisfaction problems

On sparse regression, Lp-regularization, and automated model discovery

Semi-supervised multi-label classification using an extended graph-based manifold regularization

zweidimensionales bewegtes Bild

Manifold learning by sparse grid methods

zweidimensionales bewegtes Bild

Joint Sparse Recovery Through Manifold Optimization

Principal manifold learning by sparse grids

Manifold-based sparse representation for opinion mining

Hyperspectral image denoising and destriping based on sparse representation, graph Laplacian regularization and stripe low-rank property

Hochschulschrift

Sparse approximate inverses for preconditioning, smoothing, and regularization

Optimized sparse polynomial chaos expansion with entropy regularization

Hochschulschrift

Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization

Hochschulschrift

Sparse methods for hyperspectral unmixing and image fusion

A manifold-based approach to sparse global constraint satisfaction problems

On sparse regression, Lp-regularization, and automated model discovery

Semi-supervised multi-label classification using an extended graph-based manifold regularization

zweidimensionales bewegtes Bild

Manifold learning by sparse grid methods

zweidimensionales bewegtes Bild

Joint Sparse Recovery Through Manifold Optimization

Principal manifold learning by sparse grids

Manifold-based sparse representation for opinion mining

Hyperspectral image denoising and destriping based on sparse representation, graph Laplacian regularization and stripe low-rank property

Hochschulschrift

Sparse approximate inverses for preconditioning, smoothing, and regularization

Optimized sparse polynomial chaos expansion with entropy regularization

Hochschulschrift

Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization

Hochschulschrift

Sparse methods for hyperspectral unmixing and image fusion

A manifold-based approach to sparse global constraint satisfaction problems

On sparse regression, Lp-regularization, and automated model discovery

Semi-supervised multi-label classification using an extended graph-based manifold regularization

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Manifold regularization for sparse unmixing of hyperspectral images

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Manifold learning by sparse grid methods

Joint Sparse Recovery Through Manifold Optimization

Principal manifold learning by sparse grids

Manifold-based sparse representation for opinion mining

Hyperspectral image denoising and destriping based on sparse representation, graph Laplacian regularization and stripe low-rank property

Sparse approximate inverses for preconditioning, smoothing, and regularization

Optimized sparse polynomial chaos expansion with entropy regularization

Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization

Sparse methods for hyperspectral unmixing and image fusion

A manifold-based approach to sparse global constraint satisfaction problems

On sparse regression, Lp-regularization, and automated model discovery

Semi-supervised multi-label classification using an extended graph-based manifold regularization

Manifold learning by sparse grid methods

Joint Sparse Recovery Through Manifold Optimization

Principal manifold learning by sparse grids

Manifold-based sparse representation for opinion mining

Hyperspectral image denoising and destriping based on sparse representation, graph Laplacian regularization and stripe low-rank property

Sparse approximate inverses for preconditioning, smoothing, and regularization

Optimized sparse polynomial chaos expansion with entropy regularization

Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization

Sparse methods for hyperspectral unmixing and image fusion

A manifold-based approach to sparse global constraint satisfaction problems

On sparse regression, Lp-regularization, and automated model discovery

Semi-supervised multi-label classification using an extended graph-based manifold regularization

Manifold learning by sparse grid methods

Joint Sparse Recovery Through Manifold Optimization

Principal manifold learning by sparse grids

Manifold-based sparse representation for opinion mining

Hyperspectral image denoising and destriping based on sparse representation, graph Laplacian regularization and stripe low-rank property

Sparse approximate inverses for preconditioning, smoothing, and regularization

Optimized sparse polynomial chaos expansion with entropy regularization

Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization

Sparse methods for hyperspectral unmixing and image fusion

A manifold-based approach to sparse global constraint satisfaction problems

On sparse regression, Lp-regularization, and automated model discovery

Semi-supervised multi-label classification using an extended graph-based manifold regularization

Related objects

Reset password