geodma for image classification
TRANSCRIPT
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Classification of remote sensing images withGeoDMA - Geographic Data Mining Analyst
Thales Sehn [email protected]. r
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Starting with !A"DSAT-# in #$%&'satellites pro(ide a rich data set that
helps )s to follow changes in o)r planet.
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To e*tract information from images'we need proper image interpretation
algorithms.
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D)ring the #$+,s and #$$,s' mostimage classification techni )es )sed
pi*el- ased statistical analysis.
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/ect- ased classification took a longtime to reach the mainstream )sers.
Haralick, R. and L. Shapiro, Imagesegmentation techniques. Applications ofArtificial Intelligence II., 1985 . 548 p. !"#.
$%mara, &., et al., Spring Integrating remotesensing and &IS '( o')ect"oriented datamodelling. $omputers and &raphics, 1996 .
!*+ - p. #5"4* .
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0ow to choose s)ita le o /ectfeat)res for a good classification1
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GeoDMAGeographic Data Mining Analyst
2ersion ,.3.#' pl)gin forTerra2iew 4.,.,
!in)*56indows Segmentation Algorithms
7 ased on89 :ins et al. #$$;. :aat
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GeoDMAGeographic Data Mining Analyst
S)pport and store different geographic data types inlocal or remote data ase.
Calc)late o /ect properties incl)ding landscapeecology' spectral' and spatial feat)res.
se data mining techni )es to )ild a)tomaticallydecision trees for o /ect classification.
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GeoDMAGeographic Data Mining Analyst
ro(ide a free software sol)tion of data miningapplied to geographic applications' r)nning indifferent platforms.
Bntegrate (alidation tools in a friendly Graphic serBnterface 7G B8' ased on statistics and the )sersknowledge.
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)tline for o /ect- ased imageclassification
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/ect s feat)res a(aila le in GeoDMA
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Classification algorithms
The man)al definition of an effecti(e r)le-setfor classification is a time-cons)ming task.
GeoDMA makes easy the knowledge disco(eryin the data ase' a)tomatically creatingdecision trees' which find the est feat)res forclassification' and their relations to the classesof interest.
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Applications r an classification
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Applications r an classification
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Applications Deforestation atterns
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?)t)re works
"ew classification algorithms ?eat)re selection )ser interface Time Series Analysis
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Classification of remote sensing images withGeoDMA - Geographic Data Mining Analyst
Thales Sehn [email protected]. r
http955geodma.sf.net5