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Recent Methods for Reconstructing Missing Data in Multispectral Satellite Imagery

  • Melgani F
  • Mercier G
  • Lorenzi L
  • et al.
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Abstract

The problem of packing items within bounded regions in the Euclidean space has multiple applications in a variety of areas, such as, Physics, Chemistry, and Engineering. Problems of this type exhibit various levels of complexity. Nonlinear programming formulations and methods had been successfully applied to a wide range of packing problems. In this review paper, a brief description of the state-of-the-art and an illustrated overview of packing nonlinear programming techniques and applications will be presented.

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Melgani, F., Mercier, G., Lorenzi, L., & Pasolli, E. (2016). Recent Methods for Reconstructing Missing Data in Multispectral Satellite Imagery (pp. 221–234). https://doi.org/10.1007/978-4-431-55342-7_19

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