Algorithmic Foundation of Spectral Rarefaction for Measuring Satellite Imagery Heterogeneity at Multiple Spatial Scales

Measuring heterogeneity in satellite imagery is an important task to deal with. Most measures of spectral diversity have been based on Shannon Information theory. However, this approach does not inherently address different scales, ranging from local (hereafter referred to alpha diversity) to global...

Descripción completa

Detalles Bibliográficos
Autor principal: Rocchini, Duccio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280746/
https://www.ncbi.nlm.nih.gov/pubmed/22389600
http://dx.doi.org/10.3390/s90100303
_version_ 1782223860067729408
author Rocchini, Duccio
author_facet Rocchini, Duccio
author_sort Rocchini, Duccio
collection PubMed
description Measuring heterogeneity in satellite imagery is an important task to deal with. Most measures of spectral diversity have been based on Shannon Information theory. However, this approach does not inherently address different scales, ranging from local (hereafter referred to alpha diversity) to global scales (gamma diversity). The aim of this paper is to propose a method for measuring spectral heterogeneity at multiple scales based on rarefaction curves. An algorithmic solution of rarefaction applied to image pixel values (Digital Numbers, DNs) is provided and discussed.
format Online
Article
Text
id pubmed-3280746
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-32807462012-03-02 Algorithmic Foundation of Spectral Rarefaction for Measuring Satellite Imagery Heterogeneity at Multiple Spatial Scales Rocchini, Duccio Sensors (Basel) Communication Measuring heterogeneity in satellite imagery is an important task to deal with. Most measures of spectral diversity have been based on Shannon Information theory. However, this approach does not inherently address different scales, ranging from local (hereafter referred to alpha diversity) to global scales (gamma diversity). The aim of this paper is to propose a method for measuring spectral heterogeneity at multiple scales based on rarefaction curves. An algorithmic solution of rarefaction applied to image pixel values (Digital Numbers, DNs) is provided and discussed. Molecular Diversity Preservation International (MDPI) 2009-01-08 /pmc/articles/PMC3280746/ /pubmed/22389600 http://dx.doi.org/10.3390/s90100303 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Communication
Rocchini, Duccio
Algorithmic Foundation of Spectral Rarefaction for Measuring Satellite Imagery Heterogeneity at Multiple Spatial Scales
title Algorithmic Foundation of Spectral Rarefaction for Measuring Satellite Imagery Heterogeneity at Multiple Spatial Scales
title_full Algorithmic Foundation of Spectral Rarefaction for Measuring Satellite Imagery Heterogeneity at Multiple Spatial Scales
title_fullStr Algorithmic Foundation of Spectral Rarefaction for Measuring Satellite Imagery Heterogeneity at Multiple Spatial Scales
title_full_unstemmed Algorithmic Foundation of Spectral Rarefaction for Measuring Satellite Imagery Heterogeneity at Multiple Spatial Scales
title_short Algorithmic Foundation of Spectral Rarefaction for Measuring Satellite Imagery Heterogeneity at Multiple Spatial Scales
title_sort algorithmic foundation of spectral rarefaction for measuring satellite imagery heterogeneity at multiple spatial scales
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280746/
https://www.ncbi.nlm.nih.gov/pubmed/22389600
http://dx.doi.org/10.3390/s90100303
work_keys_str_mv AT rocchiniduccio algorithmicfoundationofspectralrarefactionformeasuringsatelliteimageryheterogeneityatmultiplespatialscales

Ejemplares similares