SegOptim-package: Optimization of Image Segmentation Parameters for...

In joaofgoncalves/SegOptim: Optimization of Image Segmentation Parameters for Object-Based Image Analysis (OBIA)

Optimization of Image Segmentation Parameters for Object-Based Image Analysis (OBIA)

Description

Provides a set of tools for optimizing segmentation parameters for Object-based Image Analysis (OBIA) of Remote Sensing/Earth Observation imagery, combining genetic or search algorithms, supervised classification, automatic feature generation and classification performance evaluation. For more information see the paper Goncalves, J. et al. (2019) <doi:10.1016/j.jag.2018.11.011>. It also implements several unsupervised classification (or clustering) for multiple algorithms and compares different solutions based on internal clustering criteria.

Details

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Author(s)

Author: NA Maintainer: Joao Goncalves <[e-mail]>

References

Scrucca L. (2013). GA: A Package for Genetic Algorithms in R. Journal of Statistical Software, 53(4), 1-37, http://www.jstatsoft.org/v53/i04/.

Scrucca L. (2016). On some extensions to GA package: hybrid optimisation, parallelisation and islands evolution. Submitted to R Journal. Pre-print available at: http://arxiv.org/abs/1605.01931.

See Also

GA

joaofgoncalves/SegOptim documentation built on Feb. 5, 2024, 11:10 p.m.