Contribution of Minimum Noise Fraction Transformation of Multi-temporal RADARSAT-2 Polarimetric SAR Data to Cropland Classification
Author:
Affiliation:
1. Department of Geography, The University of Western Ontario, London, Ontario, Canada;
2. Science and Technology Branch, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/07038992.2018.1481737
Reference33 articles.
1. A study of land cover classification using polarimetric SAR parameters
2. Coherence, Polarization, and Statistical Independence in Cloude–Pottier's Radar Polarimetry
3. Assessing the Potential to Operationalize Shoreline Sensitivity Mapping: Classifying Multiple Wide Fine Quadrature Polarized RADARSAT-2 and Landsat 5 Scenes with a Single Random Forest Model
4. A new classification method based on Cloude-Pottier eigenvalue/eigenvector decomposition
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