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  • 标题:K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by the k -Nearest Neighbors algorithm
  • 本地全文:下载
  • 作者:Gherardo Chirici ; Piermaria Corona ; Marco Marchetti
  • 期刊名称:European Journal of Remote Sensing
  • 电子版ISSN:2279-7254
  • 出版年度:2012
  • 卷号:45
  • 期号:1
  • 页码:433-442
  • DOI:10.5721/EuJRS20124536
  • 摘要:In the last decades researchers investigated the possibility of extending the information collected in sampling units during a field survey to wider geographical areas through the use of remotely sensed images. One of the most widely adopted approaches is based on the non-parametric k-Nearest Neighbors (k-NN) algorithm. This contribution describes the software K-NN FOREST we developed to provide a complete tool for the implementation of the k-NN technique to generate spatially explicit estimations (maps) of a response variable acquired in the field by sampling units through the use of remotely sensed data or other ancillary variables. K-NN FOREST is designed to guide the user through a graphic user interface in the different phases of the process. K-NN FOREST is freely available for download and it is designed to run under Windows environment in conjunction with the GIS software IDRISI.
  • 关键词:Environmental Inventory and Mapping ; Prediction ; Remote Sensing ; k -Nearest Neighbors
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