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Urban Road Extraction High resolution remotely sensed imagery With Gabor texture and geometrical Features

Hualong HU

Abstract


Through the feature analysis of the frequency curve , The paper proposed a new method which
integrated Gabor texture and geometrical features in the urban road Ction from high resolution remotely sensed
imagery. in the experiment, the texture features in different frequencies and Different directions were obtained by
a given bank of Gabor filters,andthen K-means clus Tering method is applied for imagery segmentation. The
morphological methods were utilized to separate the road objects from Non-^oadobjects,<b 21>and the
geometrical features were applied to take out the non-road. Then the extracted roads were regulated by
mathematical morphology. The result showed this proposed method could effectively extract the urban road
information from high resolution Remo Tely sensed imagery


Keywords


Road extraction; Gabor filter; texture; Geometrical features; Mathematical morphology

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DOI: https://doi.org/10.18282/rs.v7i1.372

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