Matches in SemOpenAlex for { <https://semopenalex.org/work/W2984648689> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2984648689 abstract "Nonnegative matrix factorization (NMF) has been widely used in hyperspectral unmixing (HU) in recent years since it can simultaneously estimate endmember and abundance matrices. However, most existing NMF unmixing methods only impose geometric or statistical unilateral prior on endmember or abundance matrix, meanwhile ignore the synergistic effect of both priors. To overcome this problem, in this paper, we propose a novel geometric and statistical hybrid method, called the weighted Ly 2 sparse total variation regularized and volume prior constrained NMF (wL 1/2 TVVC- NMF).The proposed approach integrates the endmember volume, abundance sparsity and piecewise smoothness into the unified NMF unmixing framework, and imposes the two kinds of prior information to the matrix factors simultaneously. It not only captures the sparsity and smoothness of abundance map, but also enhances the endmember identification accuracy, and improves the stability of results and noise robustness. The optimization model is simply solved by the variable splitting and augmented Lagrangian algorithm. Several experiments were conducted to demonstrate the performance of proposed method." @default.
- W2984648689 created "2019-11-22" @default.
- W2984648689 creator A5046538842 @default.
- W2984648689 creator A5060761737 @default.
- W2984648689 creator A5076778682 @default.
- W2984648689 date "2019-07-01" @default.
- W2984648689 modified "2023-09-27" @default.
- W2984648689 title "Hyperspectral Unmixing Using Weighted L1/2 Sparse Total Variation Regularized and Volume Prior Constrained Nonnegative Matrix Factorization" @default.
- W2984648689 cites W2604977491 @default.
- W2984648689 doi "https://doi.org/10.1109/igarss.2019.8898830" @default.
- W2984648689 hasPublicationYear "2019" @default.
- W2984648689 type Work @default.
- W2984648689 sameAs 2984648689 @default.
- W2984648689 citedByCount "1" @default.
- W2984648689 countsByYear W29846486892020 @default.
- W2984648689 crossrefType "proceedings-article" @default.
- W2984648689 hasAuthorship W2984648689A5046538842 @default.
- W2984648689 hasAuthorship W2984648689A5060761737 @default.
- W2984648689 hasAuthorship W2984648689A5076778682 @default.
- W2984648689 hasConcept C104317684 @default.
- W2984648689 hasConcept C107673813 @default.
- W2984648689 hasConcept C11413529 @default.
- W2984648689 hasConcept C121332964 @default.
- W2984648689 hasConcept C134306372 @default.
- W2984648689 hasConcept C150452318 @default.
- W2984648689 hasConcept C152671427 @default.
- W2984648689 hasConcept C153180895 @default.
- W2984648689 hasConcept C154945302 @default.
- W2984648689 hasConcept C158693339 @default.
- W2984648689 hasConcept C159078339 @default.
- W2984648689 hasConcept C164660894 @default.
- W2984648689 hasConcept C177769412 @default.
- W2984648689 hasConcept C185592680 @default.
- W2984648689 hasConcept C2776135515 @default.
- W2984648689 hasConcept C33923547 @default.
- W2984648689 hasConcept C41008148 @default.
- W2984648689 hasConcept C42355184 @default.
- W2984648689 hasConcept C55493867 @default.
- W2984648689 hasConcept C58237817 @default.
- W2984648689 hasConcept C62520636 @default.
- W2984648689 hasConcept C63479239 @default.
- W2984648689 hasConceptScore W2984648689C104317684 @default.
- W2984648689 hasConceptScore W2984648689C107673813 @default.
- W2984648689 hasConceptScore W2984648689C11413529 @default.
- W2984648689 hasConceptScore W2984648689C121332964 @default.
- W2984648689 hasConceptScore W2984648689C134306372 @default.
- W2984648689 hasConceptScore W2984648689C150452318 @default.
- W2984648689 hasConceptScore W2984648689C152671427 @default.
- W2984648689 hasConceptScore W2984648689C153180895 @default.
- W2984648689 hasConceptScore W2984648689C154945302 @default.
- W2984648689 hasConceptScore W2984648689C158693339 @default.
- W2984648689 hasConceptScore W2984648689C159078339 @default.
- W2984648689 hasConceptScore W2984648689C164660894 @default.
- W2984648689 hasConceptScore W2984648689C177769412 @default.
- W2984648689 hasConceptScore W2984648689C185592680 @default.
- W2984648689 hasConceptScore W2984648689C2776135515 @default.
- W2984648689 hasConceptScore W2984648689C33923547 @default.
- W2984648689 hasConceptScore W2984648689C41008148 @default.
- W2984648689 hasConceptScore W2984648689C42355184 @default.
- W2984648689 hasConceptScore W2984648689C55493867 @default.
- W2984648689 hasConceptScore W2984648689C58237817 @default.
- W2984648689 hasConceptScore W2984648689C62520636 @default.
- W2984648689 hasConceptScore W2984648689C63479239 @default.
- W2984648689 hasLocation W29846486891 @default.
- W2984648689 hasOpenAccess W2984648689 @default.
- W2984648689 hasPrimaryLocation W29846486891 @default.
- W2984648689 hasRelatedWork W1631938343 @default.
- W2984648689 hasRelatedWork W1993335538 @default.
- W2984648689 hasRelatedWork W2054854521 @default.
- W2984648689 hasRelatedWork W2089298795 @default.
- W2984648689 hasRelatedWork W2138235599 @default.
- W2984648689 hasRelatedWork W2163867257 @default.
- W2984648689 hasRelatedWork W2188062211 @default.
- W2984648689 hasRelatedWork W2352899390 @default.
- W2984648689 hasRelatedWork W2381929940 @default.
- W2984648689 hasRelatedWork W2515594114 @default.
- W2984648689 hasRelatedWork W2560683702 @default.
- W2984648689 hasRelatedWork W2604977491 @default.
- W2984648689 hasRelatedWork W2893348249 @default.
- W2984648689 hasRelatedWork W2898368675 @default.
- W2984648689 hasRelatedWork W2904103314 @default.
- W2984648689 hasRelatedWork W2904511776 @default.
- W2984648689 hasRelatedWork W2983186010 @default.
- W2984648689 hasRelatedWork W3052044215 @default.
- W2984648689 hasRelatedWork W3081364069 @default.
- W2984648689 hasRelatedWork W3143531750 @default.
- W2984648689 isParatext "false" @default.
- W2984648689 isRetracted "false" @default.
- W2984648689 magId "2984648689" @default.
- W2984648689 workType "article" @default.