Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893968449> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2893968449 abstract "Hyperspectral data is a collection of many images, all of which are from a single terrestrial landscape, but at different and adjacent wavelengths (bands), and often in whole or in part wavelengths of 400 to 2500 nm. For each pixel of hyperspectral data, The curve obtained by plotting brightness intensities in different bands in terms of band numbers is known as the spectral signature or the spectral reflection curve (SRC).Compression methods are based on transformations coding such as discrete cosine transform (DCT), discrete wavelet transform (DWT), or principal component analysis (PCA) are one of the most effective ways to eliminate image correlations and to reduce their volume. But all of these methods suffer from a common mistake, which is that they do not consider spectral reflectance curve Algebraic - Geometric features and a rich source of information are neglected as sequence of primary features. Another method is based on curve fitting which is used due to its effect on image spectrum exclusively in Compression Hyperspectral Images. This method uses the Spectral Signature Image to reduce the feature. This method has possessed very good results compared with previous methods such as PCA, but in compression by using this method, the SRC approximated curve in some points has distortion. In this paper, we tried to use a specific way finding distortion points and interval SRC to non-overlapping adjacent intervals in order to resolve this distortion. Using the proposed method, in addition to eliminating distortion, the PSNR level has much increased and the reconstructed image quality is very similar to the original image." @default.
- W2893968449 created "2018-10-05" @default.
- W2893968449 creator A5007888875 @default.
- W2893968449 creator A5038908771 @default.
- W2893968449 date "2018-07-01" @default.
- W2893968449 modified "2023-10-14" @default.
- W2893968449 title "Hyperspectral Data Compression by Using Rational Function Curve Fitting in Spectral Signature Subintervals" @default.
- W2893968449 cites W186034938 @default.
- W2893968449 cites W195424646 @default.
- W2893968449 cites W1970342366 @default.
- W2893968449 cites W2114689774 @default.
- W2893968449 cites W2478493250 @default.
- W2893968449 cites W2522966514 @default.
- W2893968449 cites W2738950306 @default.
- W2893968449 cites W3195212285 @default.
- W2893968449 doi "https://doi.org/10.1109/csndsp.2018.8471809" @default.
- W2893968449 hasPublicationYear "2018" @default.
- W2893968449 type Work @default.
- W2893968449 sameAs 2893968449 @default.
- W2893968449 citedByCount "2" @default.
- W2893968449 countsByYear W28939684492021 @default.
- W2893968449 countsByYear W28939684492022 @default.
- W2893968449 crossrefType "proceedings-article" @default.
- W2893968449 hasAuthorship W2893968449A5007888875 @default.
- W2893968449 hasAuthorship W2893968449A5038908771 @default.
- W2893968449 hasConcept C11413529 @default.
- W2893968449 hasConcept C115961682 @default.
- W2893968449 hasConcept C126780896 @default.
- W2893968449 hasConcept C127313418 @default.
- W2893968449 hasConcept C153180895 @default.
- W2893968449 hasConcept C154945302 @default.
- W2893968449 hasConcept C159078339 @default.
- W2893968449 hasConcept C160633673 @default.
- W2893968449 hasConcept C176641082 @default.
- W2893968449 hasConcept C194257627 @default.
- W2893968449 hasConcept C2221639 @default.
- W2893968449 hasConcept C2776257435 @default.
- W2893968449 hasConcept C31258907 @default.
- W2893968449 hasConcept C31972630 @default.
- W2893968449 hasConcept C33923547 @default.
- W2893968449 hasConcept C41008148 @default.
- W2893968449 hasConcept C62649853 @default.
- W2893968449 hasConcept C78548338 @default.
- W2893968449 hasConceptScore W2893968449C11413529 @default.
- W2893968449 hasConceptScore W2893968449C115961682 @default.
- W2893968449 hasConceptScore W2893968449C126780896 @default.
- W2893968449 hasConceptScore W2893968449C127313418 @default.
- W2893968449 hasConceptScore W2893968449C153180895 @default.
- W2893968449 hasConceptScore W2893968449C154945302 @default.
- W2893968449 hasConceptScore W2893968449C159078339 @default.
- W2893968449 hasConceptScore W2893968449C160633673 @default.
- W2893968449 hasConceptScore W2893968449C176641082 @default.
- W2893968449 hasConceptScore W2893968449C194257627 @default.
- W2893968449 hasConceptScore W2893968449C2221639 @default.
- W2893968449 hasConceptScore W2893968449C2776257435 @default.
- W2893968449 hasConceptScore W2893968449C31258907 @default.
- W2893968449 hasConceptScore W2893968449C31972630 @default.
- W2893968449 hasConceptScore W2893968449C33923547 @default.
- W2893968449 hasConceptScore W2893968449C41008148 @default.
- W2893968449 hasConceptScore W2893968449C62649853 @default.
- W2893968449 hasConceptScore W2893968449C78548338 @default.
- W2893968449 hasLocation W28939684491 @default.
- W2893968449 hasOpenAccess W2893968449 @default.
- W2893968449 hasPrimaryLocation W28939684491 @default.
- W2893968449 hasRelatedWork W2548791488 @default.
- W2893968449 hasRelatedWork W2565015337 @default.
- W2893968449 hasRelatedWork W2737996023 @default.
- W2893968449 hasRelatedWork W2765277922 @default.
- W2893968449 hasRelatedWork W2766129308 @default.
- W2893968449 hasRelatedWork W2899341612 @default.
- W2893968449 hasRelatedWork W2901364343 @default.
- W2893968449 hasRelatedWork W2902972690 @default.
- W2893968449 hasRelatedWork W3141808356 @default.
- W2893968449 hasRelatedWork W3209256213 @default.
- W2893968449 isParatext "false" @default.
- W2893968449 isRetracted "false" @default.
- W2893968449 magId "2893968449" @default.
- W2893968449 workType "article" @default.