2D building change detection from high resolution satelliteimagery: A two-step hierarchical method based on 3D invariant primitives

@article{Champion20102DBC,
  title={2D building change detection from high resolution satelliteimagery: A two-step hierarchical method based on 3D invariant primitives},
  author={Nicolas Champion and Didier Boldo and Marc Pierrot Deseilligny and Georges Stamon},
  journal={Pattern Recognit. Lett.},
  year={2010},
  volume={31},
  pages={1138-1147}
}
  • Nicolas Champion, Didier Boldo, +1 author Georges Stamon
  • Published in Pattern Recognit. Lett. 2010
  • Computer Science
  • The analysis of remotely sensed data for object extraction is a key step in an increasing number of GIS (Geographic Information Science) applications, in particular for mapping, updating and change detection purposes. The main goal of this paper is to present an automatic method for detecting changes in a 2D building database, starting from recent satellite images. The workflow of our method is divided into two steps. 3D primitives, extracted from multiple images or from a correlation Digital… CONTINUE READING

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