A Gaussian Comparison Function and Unbiased Detection of Linear Structures from Remote Sensing Images

Based on the Gaussian scale-space,a Gaussian comparison function is presented for separating the adjacent road features in aerial image.Combining the geometric and radiometric features of the roads, the curvilinear structures are extracted based on local directional energy in continuous scale-space.Valid road curvilinear features are verified,grouped and extracted by both topologic and geometric methods.The above algorithm is applied to extracting the road features of both rural road and urban highways from urban aerial images.The algorithm can efficiently extract non-salient road and shadowed road,and can significantly reduce the computational complexity in the line tracing.Some discussions on the zero drift of the Gaussian comparison function are also presented.