Evaluation of random forest method for agricultural crop classification
Author:
Affiliation:
1. YYU, City and Regional Planning, 65080, Van, Turkey
2. Karadeniz Technical University (KTU), Department of Geomatics, Division of Remote Sensing, 61080 - Trabzon, Turkey
Publisher
Informa UK Limited
Subject
Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.5721/EuJRS20124535
Reference29 articles.
1. Sub-pixel land cover mapping for per-field classification
2. Empirical characterization of random forest variable importance measures
3. The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean
4. Breiman L. (2001) Random Forests, Machine learning. Kluwer Academic Publishers, 45 (1): 5–32.
5. A new process for the segmentation of high resolution remote sensing imagery
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