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Preliminary results of superresolution-enhanced angular hyperspectral (CHRIS/Proba) images for land-cover classification

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Abstract
Superresolution (SR) image reconstruction is a technique to obtain a high-resolution (HR) image from a set of low-resolution images. Compact High Resolution Imaging Spectrometer (CHRIS)/Project for On-Board Autonomy (Proba) is a transitional hyperspectral-oriented satellite which acquires multiple angular images of the same scene. The angular images acquired within a very short period of time are ideal for SR operation. Recent developments point to the possibility of a SR-enhanced CHRIS data set at higher resolution. Apparently, the additional details are valuable information for many applications. This letter presents the preliminary evaluation of the SR CHRIS images for ecotope mapping and subpixel classification of sealed surface using two different scenes in Belgium. Accuracy obtained from SR CHRIS images is comparable to that of the original CHRIS, but with significantly more detail in the final classification map. In view of the demands for HR hyperspectral data sets, SR operation can be an interesting option to mitigate the lower spatial resolution of the current and future spaceborne hyperspectral images. Properties such as quick revisiting time and angular acquisition of a hyperspectral satellite are important for the success of SR operations.
Keywords
RECONSTRUCTION, RESOLUTION, CHRIS/Proba, hyperspectral images, land-cover classification, multiangle, images, subpixel classification, super-resolution (SR) image, reconstruction

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MLA
Chan, Jonathan Cheung-Wai, et al. “Preliminary Results of Superresolution-Enhanced Angular Hyperspectral (CHRIS/Proba) Images for Land-Cover Classification.” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, vol. 8, no. 6, 2011, pp. 1011–15.
APA
Chan, J. C.-W., Ma, J., Van de Voorde, T., & Canters, F. (2011). Preliminary results of superresolution-enhanced angular hyperspectral (CHRIS/Proba) images for land-cover classification. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 8(6), 1011–1015.
Chicago author-date
Chan, Jonathan Cheung-Wai, Jianglin Ma, Tim Van de Voorde, and Frank Canters. 2011. “Preliminary Results of Superresolution-Enhanced Angular Hyperspectral (CHRIS/Proba) Images for Land-Cover Classification.” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 8 (6): 1011–15.
Chicago author-date (all authors)
Chan, Jonathan Cheung-Wai, Jianglin Ma, Tim Van de Voorde, and Frank Canters. 2011. “Preliminary Results of Superresolution-Enhanced Angular Hyperspectral (CHRIS/Proba) Images for Land-Cover Classification.” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 8 (6): 1011–1015.
Vancouver
1.
Chan JC-W, Ma J, Van de Voorde T, Canters F. Preliminary results of superresolution-enhanced angular hyperspectral (CHRIS/Proba) images for land-cover classification. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 2011;8(6):1011–5.
IEEE
[1]
J. C.-W. Chan, J. Ma, T. Van de Voorde, and F. Canters, “Preliminary results of superresolution-enhanced angular hyperspectral (CHRIS/Proba) images for land-cover classification,” IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, vol. 8, no. 6, pp. 1011–1015, 2011.
@article{8645270,
  abstract     = {Superresolution (SR) image reconstruction is a technique to obtain a high-resolution (HR) image from a set of low-resolution images. Compact High Resolution Imaging Spectrometer (CHRIS)/Project for On-Board Autonomy (Proba) is a transitional hyperspectral-oriented satellite which acquires multiple angular images of the same scene. The angular images acquired within a very short period of time are ideal for SR operation. Recent developments point to the possibility of a SR-enhanced CHRIS data set at higher resolution. Apparently, the additional details are valuable information for many applications. This letter presents the preliminary evaluation of the SR CHRIS images for ecotope mapping and subpixel classification of sealed surface using two different scenes in Belgium. Accuracy obtained from SR CHRIS images is comparable to that of the original CHRIS, but with significantly more detail in the final classification map. In view of the demands for HR hyperspectral data sets, SR operation can be an interesting option to mitigate the lower spatial resolution of the current and future spaceborne hyperspectral images. Properties such as quick revisiting time and angular acquisition of a hyperspectral satellite are important for the success of SR operations.},
  author       = {Chan, Jonathan Cheung-Wai and Ma, Jianglin and Van de Voorde, Tim and Canters, Frank},
  issn         = {1545-598X},
  journal      = {IEEE GEOSCIENCE AND REMOTE SENSING LETTERS},
  keywords     = {RECONSTRUCTION,RESOLUTION,CHRIS/Proba,hyperspectral images,land-cover classification,multiangle,images,subpixel classification,super-resolution (SR) image,reconstruction},
  language     = {eng},
  number       = {6},
  pages        = {1011--1015},
  title        = {Preliminary results of superresolution-enhanced angular hyperspectral (CHRIS/Proba) images for land-cover classification},
  url          = {http://dx.doi.org/10.1109/LGRS.2011.2147277},
  volume       = {8},
  year         = {2011},
}

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