Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects. (arXiv:2112.01063v2 [cs.CV] UPDATED)

This paper is devoted to the problem of detection of forest and non-forest
areas on Earth images. We propose two statistical methods to tackle this
problem: one based on multiple hypothesis testing with parametric distribution
families, another one -- on non-parametric tests. The parametric approach is
novel in the literature and relevant to a larger class of problems -- detection
of natural objects, as well as anomaly detection. We develop mathematical
background for each of the two methods, build self-sufficient …

arxiv deforestation objects statistics