Inferring urban land use using the optimised spatial reclassification kernel

@article{Kwast2011InferringUL,
  title={Inferring urban land use using the optimised spatial reclassification kernel},
  author={Johannes van der Kwast and Tim Van de Voorde and Frank Canters and Inge Uljee and Stijn Van Looy and Guy Engelen},
  journal={Environmental Modelling and Software},
  year={2011},
  volume={26},
  pages={1279-1288}
}
In the 1990s, promising results in land-use classification were obtained by kernel-based contextual classification algorithms. Soon, however, it was recognised that kernel-based reclassifiers have important shortcomings and research instead focused on object-based image analysis. This study proposes a solution to two of the most important drawbacks of kernel-based reclassifiers: (1) the use of kernels tends to smooth boundaries between discrete land-use/land-cover parcels, and (2) it is… CONTINUE READING