imageRF - A user-oriented implementation for remote sensing image analysis with Random Forests

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• 作者：Bjö ; rn Waske^a ; ^{bwaske@uni-bonn.de} ; Sebastian van der Linden^b ; Carsten Oldenburg^a ; Benjamin Jakimow^b ; Andreas Rabe^b ; Patrick Hostert^b
• 关键词：Random forests ; RF ; Remote sensing ; Classification ; Regression ; Land cover ; Image analysis
• 刊名：Environmental Modelling and Software
• 出版年：2012
• 期刊代码：27_13648152
• 类别：env
• 出版时间：July, 2012
• 卷：35
• 期：Complete
• 页码：192-193
• 文件大小：322 K

摘要

An IDL implementation for the classification and regression analysis of remote sensing images with Random Forests is introduced. The tool, called imageRF, is platform and license independent and uses generic image file formats. It works well with default parameterization, yet聽all relevant parameters can be defined in intuitive GUIs. This makes it a user-friendly image processing tool, which is implemented as an add-on in the free EnMAP-Box and may be used in the commercial IDL/ENVI software.