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An unbiased algorithm for detection of curvilinear structures in urban remote sensing images

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Abstract:

Based on the Gaussian scale-space, a Gaussian comparison function is presented for extracting the linearly road features in aerial remote sensing image. Combining the geometric and radiometric features, the curvilinear structures of the roads are extracted based on locally oriented energy in continuous scale-space. Curvilinear features of roads are verified, grouped and extracted by using both topologic and geometric methods. This algorithm is applicable to extracting the road features in different scale such as rural roads or urban highways, and significantly reduces the computation complexity of line tracing. Some discussions on the zero drift of the Gaussian comparison function are also presented.

Document Type: Research Article

DOI: https://doi.org/10.1080/01431160601075574

Affiliations: Key Laboratory of Wave Scattering and Remote Sensing Information (Ministry of Education) Fudan University, Shanghai 200433, China

Publication date: 2007-01-01

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