A random forest-based framework for crop mapping using temporal, spectral, textural and polarimetric observations
Author:
Affiliation:
1. Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, I.R. Iran
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1601285
Reference108 articles.
1. Comparison of polarimetric SAR observables in terms of classification performance
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4. Classification of multisource and hyperspectral data based on decision fusion
5. A Multiple SVM System for Classification of Hyperspectral Remote Sensing Data
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