Title | ||
---|---|---|
Impact of Reducing Polarimetric SAR Input on the Uncertainty of Crop Classifications Based on the Random Forests Algorithm. |
Abstract | ||
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Although the use of multidate polarimetric synthetic aperture radar (SAR) data for highly accurate land cover classification has been acknowledged in the literature, the high dimensionality of the data set remains a major issue. This study presents two different strategies to reduce the number of features in multidate SAR data sets: an accuracy-oriented reduction and an efficiency-oriented reducti... |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/TGRS.2012.2189012 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Agriculture,Scattering,Correlation,Vegetation,Radio frequency,Accuracy,Uncertainty | Data set,Feature selection,Synthetic aperture radar,Remote sensing,Artificial intelligence,Contextual image classification,Random forest,Land cover,Computer vision,Radar imaging,Algorithm,Mathematics,Data reduction | Journal |
Volume | Issue | ISSN |
50 | 10 | 0196-2892 |
Citations | PageRank | References |
17 | 0.97 | 26 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lien Loosvelt | 1 | 30 | 1.82 |
Jan Peters | 2 | 30 | 1.82 |
Henning Skriver | 3 | 264 | 20.52 |
Bernard De Baets | 4 | 2994 | 300.39 |
Niko E. C. Verhoest | 5 | 156 | 19.13 |