Exploring the Potential of Machine Learning for Automatic Slum Identification from VHR Imagery

  title={Exploring the Potential of Machine Learning for Automatic Slum Identification from VHR Imagery},
  author={Juan Carlos Duque and Jorge E. Patino and Alejandro Betancourt},
  journal={Remote Sensing},
Slum identification in urban settlements is a crucial step in the process of formulation of propoor policies. However, the use of conventional methods for slums detection such as field surveys may result time consuming and costly. This paper explores the possibility of implementing a low-cost standardized method for slum detection. We use spectral, texture and structural features extracted from very high spatial resolution imagery as input data and evaluate the capability of three machine… CONTINUE READING


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