Search Results - "Sveinsson, J.R."

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  1. 1

    Classification of hyperspectral data from urban areas based on extended morphological profiles by Benediktsson, J.A., Palmason, J.A., Sveinsson, J.R.

    “…Classification of hyperspectral data with high spatial resolution from urban areas is investigated. A method based on mathematical morphology for preprocessing…”
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    Journal Article
  2. 2

    Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles by Fauvel, M., Benediktsson, J.A., Chanussot, J., Sveinsson, J.R.

    “…A method is proposed for the classification of urban hyperspectral data with high spatial resolution. The approach is an extension of previous approaches and…”
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    Journal Article
  3. 3

    Multiple classifiers applied to multisource remote sensing data by Briem, G.J., Benediktsson, J.A., Sveinsson, J.R.

    “…The combination of multisource remote sensing and geographic data is believed to offer improved accuracies in land cover classification. For such…”
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    Journal Article
  4. 4

    Model-Based Satellite Image Fusion by Aanaes, H., Sveinsson, J.R., Nielsen, A.A., Bovith, T., Benediktsson, J.A.

    “…A method is proposed for pixel-level satellite image fusion derived directly from a model of the imaging sensor. By design, the proposed method is spectrally…”
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    Journal Article
  5. 5

    Multisource remote sensing data classification based on consensus and pruning by Benediktsson, J.A., Sveinsson, J.R.

    “…Multisource classification methods based on neural networks, statistical modeling, genetic algorithms, and fuzzy methods are considered. For most of these…”
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    Journal Article
  6. 6

    Almost translation invariant wavelet transformations for speckle reduction of SAR images by Sveinsson, J.R., Atli Benediktsson, J.

    “…Two wavelet transformations are used for speckle reduction and enhancement of synthetic aperture radar (SAR) images. First, a discrete wavelet transformation…”
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    Journal Article
  7. 7

    Blind Nonlinear Hyperspectral Unmixing Using an \ell Regularizer by Sigurdsson, J., Ulfarsson, M.O., Sveinsson, J.R.

    “…Hyperspectral unmixing consists of estimating pure material spectra (endmembers) and their corresponding abundances in hyperspectral images. In this paper, a…”
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    Conference Proceeding
  8. 8

    Hybrid consensus theoretic classification by Benediktsson, J.A., Sveinsson, J.R., Swain, P.H.

    “…Hybrid classification methods based on consensus from several data sources are considered. Each data source is at first treated separately and modeled using…”
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    Journal Article
  9. 9

    Classification and feature extraction of AVIRIS data by Benediktsson, J.A., Sveinsson, J.R., Amason, K.

    “…The processing of Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) data is discussed both in terms of feature extraction and classification. The…”
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    Journal Article Conference Proceeding
  10. 10

    Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles by Fauvel, M., Chanussot, J., Benediktsson, J.A., Sveinsson, J.R.

    “…Classification of hyperspectral data with high spatial resolution from urban areas is discussed. An approach has been proposed which is based on using several…”
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    Conference Proceeding
  11. 11

    Translation invariant combined denoising algorithm by Saevarsson, B.B., Sveinsson, J.R., Benediktsson, J.A.

    “…The paper develops a method for denoising images corrupted with additive white Gaussian noise (AWGN). The noise degrades the image quality and makes the…”
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    Conference Proceeding
  12. 12

    Combined wavelet and curvelet denoising of SAR images using TV segmentation by Sveinsson, J.R., Benediktsson, J.A.

    “…Synthetic aperture radar (SAR) images are corrupted by speckle noise due to random interference of electromagnetic waves. The speckle degrades the quality of…”
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    Conference Proceeding
  13. 13

    Combined Wavelet and Contourlet Denoising of SAR Images by Sveinsson, J.R., Benediktsson, J.A.

    “…The nonsubsampled contourlet transform (NSCT) is a new image representation approach that has sparser representation at both spatial and directional resolution…”
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    Conference Proceeding
  14. 14

    Double density wavelet transformation for speckle reduction of SAR images by Sveinsson, J.R., Benediktsson, J.A.

    “…Discrete wavelet transformations (DWTs) based on oversampled filter banks, proposed by I. W. Selesnick (2001), are used for speckle reduction of SAR images…”
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    Conference Proceeding
  15. 15

    Tree structured filter banks for speckle reduction of SAR images by Sveinsson, J.R., Benediktsson, J.A.

    “…Speckle reduction and enhancement of synthetic aperture radar (SAR) images with-simple tree structured filter banks are proposed. The filter banks, which are…”
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    Conference Proceeding
  16. 16

    Classification of hyperdimensional data using data fusion approaches by Benediktsson, J.A., Sveinsson, J.R.

    “…Statistical classification methods based on consensus from several data sources are considered with respect to classification and feature extraction of…”
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    Conference Proceeding
  17. 17

    Speckle Reduction of SAR Images in the Bandlet Domain by Sveinsson, J.R., Semar, Z., Benediktsson, J.A.

    “…Synthetic Aperture Radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering…”
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    Conference Proceeding
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  19. 19

    Wavelet footprints for speckle reduction of SAR images by Ulfarsson, M.O., Sveinsson, J.R., Benediktsson, J.A.

    “…Wavelet footprints, proposed by Dragotti (2002), are used for speckle reduction of synthetic aperture radar (SAR) images. Wavelet footprints contain all…”
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    Conference Proceeding
  20. 20

    Speckle reduction of SAR images using adaptive curvelet domain by Saevarsson, B.B., Sveinsson, J.R., Benediktsson, J.A.

    “…Synthetic aperture radar (SAR) images are corrupted by speckle noise due to random interference of electromagnetic waves. The speckle degrades the quality of…”
    Get full text
    Conference Proceeding