文章基本信息

标题：K-NN FOREST: a software for the non-parametric prediction and mapping of environmental variables by the k -Nearest Neighbors algorithm
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作者：Gherardo Chirici ; Piermaria Corona ; Marco Marchetti 等
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