Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification ...

• Main Authors: Faria, Fabio A., Buris, Luiz H., Pereira, Luis A. M., Cappabianco, Fábio A. M.
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: arXiv 2023
• Subjects: Computer Vision and Pattern Recognition cs.CV; Machine Learning cs.LG; FOS Computer and information sciences; Umda; DML
• Online Access: https://dx.doi.org/10.48550/arxiv.2303.11389; https://arxiv.org/abs/2303.11389

Aerial scene classification, which aims to semantically label remote sensing images in a set of predefined classes (e.g., agricultural, beach, and harbor), is a very challenging task in remote sensing due to high intra-class variability and the different scales and orientations of the objects presen...