FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2114194579> ?p ?o ?g. }

• W2114194579 endingPage "3436" @default.
• W2114194579 startingPage "3423" @default.
• W2114194579 abstract "In this paper, we address the problem of order selection in noisy hyperspectral applications. In conventional unmixing methods, this problem has been divided into two separate processes of order selection and unmixing. Order selection methods generally use a denoising approach at the beginning stage. The data in this case pass through three stages: denoising, order selection, and unmixing. Each of these steps mainly aims to optimize a different criterion independently. In addition, any error created in the denoising process will be propagated not only to the order selection stage but also consequently to the unmixing results. Commonly used denoising methods such as eigenvalue-decomposition-based methods, e.g., singular-value-decomposition-based methods, provide a threshold value to separate the noise from the signal. These approaches are heavily sensitive to the threshold value and signal-to-noise ratio (SNR). Moreover, these methods tend to lose their efficiency rapidly for lower SNRs. Note that both the denoising step and the dimension estimation step aim to provide the optimum estimate of the same noiseless data. Consequently, adopting a simultaneous denoising and dimension estimation method with a goal to provide the optimum estimate of the desired noiseless data is rational. This process not only avoids possible error propagations from the denoising stage to the dimension estimation stage but also unifies the optimization criteria that were used in each of these steps. In this paper, a simultaneous denoising and dimension estimation method is introduced. The approach is based on minimizing the estimated mean square error. Minimization is done by comparing the estimated data in a range of subspaces dictated by a simultaneous process. Minimizing the error at once, the proposed method denoises the data and provides the optimum dimension simultaneously. Owing to the parallel processing of denoising and dimension estimation, the simulation results show the advantages of the proposed method over some of the state-of-the-art approaches and illustrate a substantial performance, particularly for cases with a lower SNR." @default.
• W2114194579 created "2016-06-24" @default.
• W2114194579 creator A5022132424 @default.
• W2114194579 creator A5087543977 @default.
• W2114194579 date "2011-09-01" @default.
• W2114194579 modified "2023-10-06" @default.
• W2114194579 title "Simultaneous Denoising and Intrinsic Order Selection in Hyperspectral Imaging" @default.
• W2114194579 cites W2012113589 @default.
• W2114194579 cites W2055325763 @default.
• W2114194579 cites W2075306719 @default.
• W2114194579 cites W2096296424 @default.
• W2114194579 cites W2097672548 @default.
• W2114194579 cites W2097900616 @default.
• W2114194579 cites W2100799495 @default.
• W2114194579 cites W2101693013 @default.
• W2114194579 cites W2101837437 @default.
• W2114194579 cites W2102163346 @default.
• W2114194579 cites W2113898416 @default.
• W2114194579 cites W2118798900 @default.
• W2114194579 cites W2118943995 @default.
• W2114194579 cites W2122520938 @default.
• W2114194579 cites W2122976738 @default.
• W2114194579 cites W2126709888 @default.
• W2114194579 cites W2127808402 @default.
• W2114194579 cites W2128090514 @default.
• W2114194579 cites W2134601045 @default.
• W2114194579 cites W2136625467 @default.
• W2114194579 cites W2140219630 @default.
• W2114194579 cites W2142635246 @default.
• W2114194579 cites W2147043781 @default.
• W2114194579 cites W2152438175 @default.
• W2114194579 cites W2154255569 @default.
• W2114194579 cites W2157321686 @default.
• W2114194579 cites W2160558851 @default.
• W2114194579 cites W2160907264 @default.
• W2114194579 cites W2165755981 @default.
• W2114194579 cites W2406093411 @default.
• W2114194579 cites W4300989607 @default.
• W2114194579 cites W4301109526 @default.
• W2114194579 cites W4375905827 @default.
• W2114194579 doi "https://doi.org/10.1109/tgrs.2011.2125974" @default.
• W2114194579 hasPublicationYear "2011" @default.
• W2114194579 type Work @default.
• W2114194579 sameAs 2114194579 @default.
• W2114194579 citedByCount "10" @default.
• W2114194579 countsByYear W21141945792012 @default.
• W2114194579 countsByYear W21141945792013 @default.
• W2114194579 countsByYear W21141945792014 @default.
• W2114194579 countsByYear W21141945792015 @default.
• W2114194579 countsByYear W21141945792016 @default.
• W2114194579 countsByYear W21141945792023 @default.
• W2114194579 crossrefType "journal-article" @default.
• W2114194579 hasAuthorship W2114194579A5022132424 @default.
• W2114194579 hasAuthorship W2114194579A5087543977 @default.
• W2114194579 hasConcept C11413529 @default.
• W2114194579 hasConcept C115961682 @default.
• W2114194579 hasConcept C126255220 @default.
• W2114194579 hasConcept C147764199 @default.
• W2114194579 hasConcept C153180895 @default.
• W2114194579 hasConcept C154945302 @default.
• W2114194579 hasConcept C159078339 @default.
• W2114194579 hasConcept C163294075 @default.
• W2114194579 hasConcept C202444582 @default.
• W2114194579 hasConcept C22789450 @default.
• W2114194579 hasConcept C33676613 @default.
• W2114194579 hasConcept C33923547 @default.
• W2114194579 hasConcept C41008148 @default.
• W2114194579 hasConcept C70518039 @default.
• W2114194579 hasConcept C81917197 @default.
• W2114194579 hasConcept C99498987 @default.
• W2114194579 hasConceptScore W2114194579C11413529 @default.
• W2114194579 hasConceptScore W2114194579C115961682 @default.
• W2114194579 hasConceptScore W2114194579C126255220 @default.
• W2114194579 hasConceptScore W2114194579C147764199 @default.
• W2114194579 hasConceptScore W2114194579C153180895 @default.
• W2114194579 hasConceptScore W2114194579C154945302 @default.
• W2114194579 hasConceptScore W2114194579C159078339 @default.
• W2114194579 hasConceptScore W2114194579C163294075 @default.
• W2114194579 hasConceptScore W2114194579C202444582 @default.
• W2114194579 hasConceptScore W2114194579C22789450 @default.
• W2114194579 hasConceptScore W2114194579C33676613 @default.
• W2114194579 hasConceptScore W2114194579C33923547 @default.
• W2114194579 hasConceptScore W2114194579C41008148 @default.
• W2114194579 hasConceptScore W2114194579C70518039 @default.
• W2114194579 hasConceptScore W2114194579C81917197 @default.
• W2114194579 hasConceptScore W2114194579C99498987 @default.
• W2114194579 hasIssue "9" @default.
• W2114194579 hasLocation W21141945791 @default.
• W2114194579 hasOpenAccess W2114194579 @default.
• W2114194579 hasPrimaryLocation W21141945791 @default.
• W2114194579 hasRelatedWork W1869808405 @default.
• W2114194579 hasRelatedWork W2045960238 @default.
• W2114194579 hasRelatedWork W2075009482 @default.
• W2114194579 hasRelatedWork W2687184478 @default.
• W2114194579 hasRelatedWork W2944632316 @default.
• W2114194579 hasRelatedWork W3018841469 @default.
• W2114194579 hasRelatedWork W3154145980 @default.
• W2114194579 hasRelatedWork W3185565266 @default.

• next