Feature extraction from high resolution satellite imagery as an input to the development and rapid update of a METRANS geographic information system (GIS).
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2011-06-01
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Abstract:This report describes an accuracy assessment of extracted features derived from three
subsets of Quickbird pan-sharpened high resolution satellite image for the area of the
Port of Los Angeles, CA. Visual Learning System’s Feature Analyst and Definiens
eCognition Developer software platforms were used for image classification and results
were compared. A methodology was developed to determine the accuracy of the
feature extraction algorithms using both software packages in the ESRI ArcView GIS
interface, where the results of automatic and manual image classification methods were
compared. The findings indicate that Definiens Ecognition Developer was overall more
successful at identifying ground features in the areas where research was conducted.
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