Toward Automated Land Cover Classification in Landsat Images Using Spectral Slopes at Different Bands

Abstract

For last two decades, various techniques have been advanced for classification of satellite imageries. A vast majority of them are supervised/semisupervised requiring manual selection of samples for each class. Some of the unsupervised approaches are based on hard thresholds and particular to image acquisition modules. In this study, we propose a spectral… (More)

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