Computational theory of perceptions applied to automatic analysis of forest degradation

Título: Computational theory of perceptions applied to automatic analysis of forest degradation

Autores: Nunes, Éldman de Oliveira; Sánchez, Ángel; Trivino, Gracian

Resumo: In the field of environmental preservation, one important challenge consists of the constant monitoring of the vegetation cover degradation. Satellite images are important tools employed in environmental studies. Unfortunately, these images depend on the analysis and interpretation made by human experts. Due the large amount of data to analyze and the insufficient number of experts, the decision process may become slow. Therefore, new computational tools that make possible the automatic description of these image contents are desirable to support this task. This paper presents a contribution to tackle this problem through an application based in the Computational Theory of Perceptions. The implemented software tool allows us to produce accurate linguistic descriptions of the vegetal cover degradation degree using multispectral images. We also include different results achieved using real satellite imaging data.

Palavras-chave: Computational Theory of Perceptions; Fuzzy Logic; Image Analysis; Linguistic Report; Environmental Degradation; Vegetation Monitoring

Páginas: 6

Código DOI: 10.21528/CBIC2013-048

Artigo em pdf: bricsccicbic2013_submission_48.pdf

Arquivo BibTex: bricsccicbic2013_submission_48.bib