Spacenet building detection how to#

MARCOS D, TUIA D, KELLENBERGER B, et al. Enhancing building footprints with squaring operations. NORONHA S,NEVATIA R.Detection and modeling of buildings from multiple aerial images.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(5):501-518. Key words: building contour reconstruction, stacked hourglass network, residual module, corner detection, line segment sampling Experimental results show that on SpaceNet building data set, this method can detect the corners and edges of buildings, and effectively reconstruct the building contour in an end-to-end trainable way. Finally, the line verification module used candidate contour lines and feature map obtained by stacked hourglass network verify whether each line segment is a building contour, so as to obtain the result of building contour reconstruction. Secondly, the corners detection module is used to match the relative positions of the corresponding corners to obtain candidate corners, and then the candidate corners are sampled by line sampling module to generate candidate contour lines.

Firstly, the multi-residual module stacked hourglass network is used to extract features of buildings' corners and edges.

Spacenet building detection how to#

Considering the problem that how to reconstruct building contour in an end-to-end trainable way, a method of building contour reconstruction based on end-to-end and multi-residual module stacked hourglass network is proposed.