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

被引：82

作者：

Waske, Bjoern ^{[1
]}

van der Linden, Sebastian ^{[2
]}

Oldenburg, Carsten ^{[1
]}

Jakimow, Benjamin ^{[2
]}

Rabe, Andreas ^{[2
]}

Hostert, Patrick ^{[2
]}

机构：

[1] Univ Bonn, Inst Geodesy & Geoinformat, Fac Agr, D-53115 Bonn, Germany

[2] Humboldt Univ, Geomat Lab, Dept Geog, D-10099 Berlin, Germany

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2012年 / 35卷

关键词：

Random forests; RF; Remote sensing; Classification; Regression; Land cover; Image analysis; CLASSIFICATION;

D O I：

10.1016/j.envsoft.2012.01.014

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

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 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. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：192 / 193

页数：2

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