Recent Advances in Detection and Description of Buildings from Multiple Aerial Images

A brief description of a method for detection and description of rectangular buildings from two or more registered aerial intensity images is provided. A new interactive editing module that can use partial results of the automated process to efficiently correct errors and derive complete descriptions is also described. The automated system operates by grouping features hierarchically to form roof hypotheses which are then verified by using wall and shadow evidence. Grouping and matching steps are interleaved and multiple descriptions are preserved when clear choices are not available. Some recent results are given.

[1]  E. Baltsavias,et al.  Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) , 1995 .

[2]  Akira Ishii,et al.  Three-View Stereo Analysis , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Ramakant Nevatia,et al.  3-D descriptions of buildings from an oblique view aerial image , 1995, Proceedings of International Symposium on Computer Vision - ISCV.

[4]  Ramakant Nevatia,et al.  Detection and description of buildings from multiple aerial images , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[5]  Ramakant Nevatia,et al.  Including interaction in an automated modelling system , 1995, Proceedings of International Symposium on Computer Vision - ISCV.