Name
Title | ||
|---|---|---|
imageRF - A user-oriented implementation for remote sensing image analysis with Random Forests |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.envsoft.2012.01.014 | Environmental Modelling and Software |
Keywords | Field | DocType |
remote sensing,land cover,random forests,rf,image analysis,regression,classification | Data mining,Regression analysis,Computer science,Remote sensing,Image processing,User oriented,Image file formats,Software,Random forest,Land cover,License | Journal |
Volume | Issue | ISSN |
35 | C | 1364-8152 |
Citations | PageRank | References |
9 | 0.79 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Björn Waske | 1 | 435 | 24.75 |
| Sebastian van der Linden | 2 | 84 | 10.59 |
| Carsten Oldenburg | 3 | 9 | 0.79 |
| Benjamin Jakimow | 4 | 33 | 3.20 |
| Andreas Rabe | 5 | 56 | 5.09 |
| Patrick Hostert | 6 | 241 | 24.33 |