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Cracknell, M.J. and Reading, A.M. (2014) Geological Mapping Using Remote Sensing Data: A Comparison of Five Machine Learning Algorithms, Their Response to Variations in the Spatial Distribution of Training Data and the Use of Explicit Spatial Information. Computers & Geosciences, 63, 22-33.
http://dx.doi.org/10.1016/j.cageo.2013.10.008

has been cited by the following article:

• TITLE: RETRACTED: A Participatory Iterative Mapping Approach and Evaluation of Three Machine Learning Algorithms for Accurate Mapping of Cropping Patterns in a Complex Agro-Ecosystems

  AUTHORS: Gudina Legese Feyisa, Leo Palao, Andy Nelson, Khin Thawda Win, Kin Nge Htar, Murali Krishna Gumma, David E. Johnson

  KEYWORDS: Accuracy, Agriculture, Classification, MODIS, NDVI, Rice, Time-Series

  JOURNAL NAME: Advances in Remote Sensing, Vol.5 No.1, January 25, 2016

  ABSTRACT: Short Retraction Notice This article has been retracted according to COPE's Retraction Guidelines. Since authors have their personal reasons, they have to withdraw this paper from journal Advances in Remote Sensing. The full retraction notice in PDF is preceding the original paper which is marked "RETRACTED".