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- W2364471628 abstract "Based on traditional classification approaches,two methods are developed to improve classification results,which are supervised classification combined with rule classification method and rule-oriented multi-scale segmentation method,aiming to acquire building information from high-resolution remote sensing image easily and effectively.At the same time,experiments using the GeoEye-1image of Beijing city are performed for evaluation and analysis of the methods.Results show that the Kappa coefficients of two methods are above 87%,which is 22% higher than the traditional supervised classification,and the producer accuracy is above 30% higher." @default.
- W2364471628 created "2016-06-24" @default.
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- W2364471628 date "2013-01-01" @default.
- W2364471628 modified "2023-09-24" @default.
- W2364471628 title "Extraction of Urban Building Based on GeoEye-1 Image" @default.
- W2364471628 hasPublicationYear "2013" @default.
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