Land-cover classification through sequential learning-based optimum-path forest

Pereira, D.Pisani, R.Nakamura, R.Papa, J. [UNESP]2022-04-282022-04-282015-11-10International Geoscience and Remote Sensing Symposium (IGARSS), v. 2015-November, p. 76-79.http://hdl.handle.net/11449/220599Sequential learning-based pattern classification aims at providing more accurate labeled maps by adding an extra step of classification using an augmented feature vector. In this paper, we evaluated the robustness of Optimum-Path Forest (OPF) classifier in the context of land-cover classification using both satellite and radar images, showing OPF can benefit from sequential learning theoretical basis.76-79engLand-cover classificationOptimum-Path ForestSequential LearningLand-cover classification through sequential learning-based optimum-path forestTrabalho apresentado em evento10.1109/IGARSS.2015.73257012-s2.0-84962624104