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arXiv · 1912.06729

Laguerre-Gauss Preprocessing: Line Profiles as Image Features for Aerial Images Classification

Alejandro Murillo-González·José David Ortega Pabón·Juan Guillermo Paniagua·Olga Lucía Quintero Montoya
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Abstract

An image preprocessing methodology based on Fourier analysis together with the Laguerre-Gauss Spatial Filter is proposed. This is an alternative to obtain features from aerial images that reduces the feature space significantly, preserving enough information for classification tasks. Experiments on a challenging data set of aerial images show that it is possible to learn a robust classifier from this transformed and smaller feature space using simple models, with similar performance to the complete feature space and more complex models.

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Alejandro Murillo-González, José David Ortega Pabón, Juan Guillermo Paniagua, Olga Lucía Quintero Montoya. 2019-12-13. Laguerre-Gauss Preprocessing: Line Profiles as Image Features for Aerial Images Classification. https://arxiv.org/abs/1912.06729

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