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Wetland classification has always been a challenging task among remote sensing experts. Typically, wetland classes have low accuracies regardless of the applied dataset, as they have many spectral and ecological similarities. In this paper, a method is developed particularly effective for distinguishing spectrally similar classes such as wetlands. In this method, feature selection and object-based...
In object-oriented remote sensing imagery classification, numerous spectral, texture, shape and contextual features can be derived and used to discriminate classes and produce finer map. The high-dimensional features may induce Hughes phenomenon that classification accuracy decreases with more features involved. To improve the classification accuracy and efficiency, a hybrid feature selection method...
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