Auto extraction and identification for scanned symbols of land use map
Yu Nong · 2011
Auto extraction and identification for Scanned Symbols of land use map contributes to a more efficient work.This paper discussed the automation in a map algebra way.An artificial neural network(ANN) method was also applied for sample training.Point and line symbols were firstly extracted by distance transform based on the symbol template,then edges were smoothed by Canny operator.After ANN training for clustering those symbols were extracted to make preliminarily classification.Disconnections in the skeleton line were performed distance transform again at last for completing line symbols.The result showed an accuracy beyond 90%.