publication . Other literature type . Article . 2013

GeoDMA—Geographic Data Mining Analyst

Thales Sehn Körting; Leila Maria Garcia Fonseca; Gilberto Câmara;
  • Published: 01 Aug 2013
  • Publisher: Elsevier BV
Abstract Remote sensing images obtained by remote sensing are a key source of data for studying large-scale geographic areas. From 2013 onwards, a new generation of land remote sensing satellites from USA, China, Brazil, India and Europe will produce in 1 year as much data as 5 years of the Landsat-7 satellite. Thus, the research community needs new ways to analyze large data sets of remote sensing imagery. To address this need, this paper describes a toolbox for combing land remote sensing image analysis with data mining techniques. Data mining methods are being extensively used for statistical analysis, but up to now have had limited use in remote sensing imag...
free text keywords: OBIA, Image processing, Data mining, Image segmentation, Multitemporal analysis, Landscape ecology, Computers in Earth Sciences, Information Systems, Data set, Feature extraction, Data mining, computer.software_genre, computer, Data type, Image segmentation, Computer science, Land cover, Toolbox, Visualization, Change detection
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