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Classification of Large-Scale Remote Sensing Images for Automatic Identification of Health Hazards: Smoke Detection Using an Autologistic Regression Classifier

Remote sensing images from Earth-orbiting satellites are a potentially rich data source for monitoring and cataloguing atmospheric health hazards that cover large geographic regions. A method is proposed for classifying such images into hazard and nonhazard regions using the autologistic regression...

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Detalles Bibliográficos
Autores principales:	Wolters, Mark A., Dean, C. B.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer US 2016
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711969/ https://www.ncbi.nlm.nih.gov/pubmed/29225715 http://dx.doi.org/10.1007/s12561-016-9185-5

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