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Classification of Remote Sensing Data With Morphological Attribute Profiles: A decade of advances
IEEE Geoscience and Remote Sensing Magazine  (IF8.225),  Pub Date : 2021-03-01, DOI: 10.1109/mgrs.2021.3051859
Deise Santana Maia, Minh-Tan Pham, Erchan Aptoula, Florent Guiotte, Sébastien Lefèvre

Morphological attribute profiles (APs) are among the most prominent methods for spatial–spectral pixel analysis of remote sensing images. Since their introduction a decade ago to tackle land cover classification, many studies have been contributed to the state of the art, focusing not only on their application to a wider range of tasks but also on their performance improvement and extension to more complex Earth observation data.