SegOptim - A R package for performing object-based image classification
SegOptim is a R package for performing object-based image analysis (OBIA). It allows to run, compare and optimize multiple image segmentation algorithms in the context of supervised classification. It also allows to perform unsupervised classification with several different methods and to compare them through internal clustering metrics.
By Uddinkabir - Own work, CC BY-SA 4.0, wikimedia
Porto, Portugal, 2020
The development of this work was possible thanks to the Portuguese Foundation for Science and Technology through PhD grant nr. SFRH/BD/90112/2012.