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

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-slope-based classification technique and s...