A 3-Dimensional Multi-View Based Strategy for Remotely Sensed Image Interpretation*
The aim of this paper is to assess the feasibility of extracting 3- dimensional information about man-made objects from very high resolution satellite imagery. To this end, a 3-dimensional, multi-view based paradigm is proposed. The underlying philosophy is to generate from the images reliable geometric 3D features, exploiting the multi-view geometric constraints for blunder correction. Scene analysis is performed by reasoning in 3D world space and verified in the images by means of a hypothesis generation and verification procedure in which the decisions are taken on the basis of a multi-view consensus. As an example of such an approach, a method for automatic modelling and 3D reconstruction of buildings is discussed and the effects of the resolution of the new generation satellite data on the performance of the algorithm and the metric accuracy of the final reconstruction is investigated.
KeywordsLine Segment Aerial Image Roof Structure Dense Urban Area Final Reconstruction
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