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City Washington / DC / V1 / Pretoria / Canny / / Company Neural Networks / / Country South Africa / / / Facility Prentice Hall / University of Maine / Computer Science University of Pretoria / pipeline Figure / / IndustryTerm high resolution satellite images / road network extraction algorithms / high-resolution satellite imagery / spatial clustering algorithm / road network / extracted road network / low-level algorithm / road network extraction algorithm / road networks / satellite imagery / high-resolution multi-spectral satellite imagery / dot product / high resolution satellite imagery / detection algorithm / detection algorithms / reference network / reference road network / / MusicGroup ACE / / Organization Department of Spatial Information Science and Engineering / NN SORM / University of Maine / University of Pretoria / Pattern Analysis and Machine Intelligence / / Position Abstract The Anti-parallel edge Centerline Extractor / / ProvinceOrState Maine / / PublishedMedium IEEE Transactions on Pattern Analysis and Machine Intelligence / / Region southern africa / / Technology network-based algorithm / V1 NN-based algorithm / remote sensing / low-level algorithm / Neural Network / SOME algorithm / Comparison The ACE algorithm / road network extraction algorithms / Canny-based algorithm / SORM algorithm / V1 NN-based road network extraction algorithm / two algorithm / detection algorithms / V1-based algorithm / V1 algorithm / ACE algorithm / Image Processing / V1 NNbased algorithm / spatial clustering algorithm / detection algorithm / / SocialTag 
A Comparison of Canny and V1 Neural Network Based Edge Detectors Applied to Road Extraction A.C. Hauptfleisch† , F. van den Bergh† , A.K. Bachoo† , A.P. Engelbrecht‡ † Meraka Institute