FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3097505512> ?p ?o ?g. }

• W3097505512 endingPage "6868" @default.
• W3097505512 startingPage "6854" @default.
• W3097505512 abstract "Sparse unmixing is an important technique for analyzing and processing hyperspectral images (HSIs). Simultaneously exploiting spatial correlation and sparsity improves substantially abundance estimation accuracy. In this article, we propose to exploit nonlocal spatial information in the HSI for the sparse unmixing problem. Specifically, we first group similar patches in the HSI, and then unmix each group by imposing simultaneous a low-rank constraint and joint sparsity in the corresponding third-order abundance tensor. To this end, we build an unmixing model with a mixed regularization term consisting of the sum of the weighted tensor trace norm and the weighted tensor <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$ell _{2,1}$ </tex-math></inline-formula> -norm of the abundance tensor. The proposed model is solved under the alternating direction method of multipliers framework. We term the developed algorithm as the nonlocal tensor-based sparse unmixing algorithm. The effectiveness of the proposed algorithm is illustrated in experiments with both simulated and real hyperspectral data sets." @default.
• W3097505512 created "2020-11-09" @default.
• W3097505512 creator A5011715660 @default.
• W3097505512 creator A5029236040 @default.
• W3097505512 creator A5065782725 @default.
• W3097505512 creator A5088224232 @default.
• W3097505512 date "2021-08-01" @default.
• W3097505512 modified "2023-10-16" @default.
• W3097505512 title "Nonlocal Tensor-Based Sparse Hyperspectral Unmixing" @default.
• W3097505512 cites W138005045 @default.
• W3097505512 cites W1915139133 @default.
• W3097505512 cites W1964570608 @default.
• W3097505512 cites W1974448798 @default.
• W3097505512 cites W1986326495 @default.
• W3097505512 cites W1988868707 @default.
• W3097505512 cites W2012749606 @default.
• W3097505512 cites W2013912476 @default.
• W3097505512 cites W2018990310 @default.
• W3097505512 cites W2024165284 @default.
• W3097505512 cites W2027878671 @default.
• W3097505512 cites W2032944446 @default.
• W3097505512 cites W2039827010 @default.
• W3097505512 cites W2045147903 @default.
• W3097505512 cites W2063069198 @default.
• W3097505512 cites W2063790512 @default.
• W3097505512 cites W2091449379 @default.
• W3097505512 cites W2093985867 @default.
• W3097505512 cites W2107861471 @default.
• W3097505512 cites W2114486983 @default.
• W3097505512 cites W2125298866 @default.
• W3097505512 cites W2126527280 @default.
• W3097505512 cites W2126607811 @default.
• W3097505512 cites W2127062304 @default.
• W3097505512 cites W2156458885 @default.
• W3097505512 cites W2157321686 @default.
• W3097505512 cites W2163886442 @default.
• W3097505512 cites W2166864699 @default.
• W3097505512 cites W2277598686 @default.
• W3097505512 cites W2464748116 @default.
• W3097505512 cites W2505029951 @default.
• W3097505512 cites W2566771666 @default.
• W3097505512 cites W2587548727 @default.
• W3097505512 cites W2772226559 @default.
• W3097505512 cites W2773415061 @default.
• W3097505512 cites W2793237446 @default.
• W3097505512 cites W2801811332 @default.
• W3097505512 cites W2803704927 @default.
• W3097505512 cites W2896057526 @default.
• W3097505512 cites W2898165830 @default.
• W3097505512 cites W2901144234 @default.
• W3097505512 cites W2919868964 @default.
• W3097505512 cites W2947324203 @default.
• W3097505512 cites W2957651636 @default.
• W3097505512 cites W2977894483 @default.
• W3097505512 cites W2980079746 @default.
• W3097505512 cites W2990495891 @default.
• W3097505512 cites W2991135466 @default.
• W3097505512 cites W2998656915 @default.
• W3097505512 cites W3012548728 @default.
• W3097505512 cites W3099751232 @default.
• W3097505512 cites W3122463936 @default.
• W3097505512 cites W3148151826 @default.
• W3097505512 cites W817041652 @default.
• W3097505512 cites W2901888865 @default.
• W3097505512 doi "https://doi.org/10.1109/tgrs.2020.3030233" @default.
• W3097505512 hasPublicationYear "2021" @default.
• W3097505512 type Work @default.
• W3097505512 sameAs 3097505512 @default.
• W3097505512 citedByCount "19" @default.
• W3097505512 countsByYear W30975055122021 @default.
• W3097505512 countsByYear W30975055122022 @default.
• W3097505512 countsByYear W30975055122023 @default.
• W3097505512 crossrefType "journal-article" @default.
• W3097505512 hasAuthorship W3097505512A5011715660 @default.
• W3097505512 hasAuthorship W3097505512A5029236040 @default.
• W3097505512 hasAuthorship W3097505512A5065782725 @default.
• W3097505512 hasAuthorship W3097505512A5088224232 @default.
• W3097505512 hasConcept C11413529 @default.
• W3097505512 hasConcept C121332964 @default.
• W3097505512 hasConcept C153180895 @default.
• W3097505512 hasConcept C154945302 @default.
• W3097505512 hasConcept C155281189 @default.
• W3097505512 hasConcept C158693339 @default.
• W3097505512 hasConcept C159078339 @default.
• W3097505512 hasConcept C202444582 @default.
• W3097505512 hasConcept C2524010 @default.
• W3097505512 hasConcept C2776036281 @default.
• W3097505512 hasConcept C2776135515 @default.
• W3097505512 hasConcept C33923547 @default.
• W3097505512 hasConcept C41008148 @default.
• W3097505512 hasConcept C62520636 @default.
• W3097505512 hasConcept C92207270 @default.
• W3097505512 hasConceptScore W3097505512C11413529 @default.
• W3097505512 hasConceptScore W3097505512C121332964 @default.
• W3097505512 hasConceptScore W3097505512C153180895 @default.
• W3097505512 hasConceptScore W3097505512C154945302 @default.
• W3097505512 hasConceptScore W3097505512C155281189 @default.
• W3097505512 hasConceptScore W3097505512C158693339 @default.

• next