Application of Support Vector Machines for Landuse Classification Using High-Resolution RapidEye Images: A Sensitivity Analysis
Author:
Affiliation:
1. Department of Geomatic Engineering, Yildiz Technical University, 34220 Esenler, Istanbul, Turkey
2. Department of Environmental Science, Policy and Geography, University of South Florida, St. Petersburg, Florida 33701, USA
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/EuJRS20154823
Reference36 articles.
1. Enhancing land use classification with fusing dual-polarized TerraSAR-X and multispectral RapidEye data
2. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
3. Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels
4. Support-vector networks
5. A review of assessing the accuracy of classifications of remotely sensed data
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