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Feature Profiles from Attribute Filtering for Classification of Remote Sensing Images
2018
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This paper proposes a novel extension of morphological attribute profiles (APs) for classification of remote sensing data. In standard AP-based approaches, an input image is characterized by a set of filtered images achieved from the sequential application of attribute filters based on the image tree representation. Hence, only pixel values (i.e. gray levels) are employed to form the output profiles. In this paper, during the attribute filtering process, instead of outputting the gray levels,
doi:10.1109/jstars.2017.2773367
fatcat:b66anpeoxrchdkrpmofm635cae