Volume II-3/W2
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W2, 49-54, 2013
https://doi.org/10.5194/isprsannals-II-3-W2-49-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W2, 49-54, 2013
https://doi.org/10.5194/isprsannals-II-3-W2-49-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  07 Oct 2013

07 Oct 2013

Homological persistence for shape based change detection between Digital Elevation Models

B. Vallet B. Vallet
  • IGN, Laboratoire MATIS, 73 avenue de Paris, 94165 Saint-Mand'e, France

Keywords: Change detection, Digital Elevation Model, shape, persistence, multilevel

Abstract. Digital Elevation Models provide an accurate description of scenes allowing change detection by radiometric independence measurements. The height information gives access to the changes in the 3D shape of a scene occurring between two dates. In this paper, a procedure to extract meaningful changes is proposed based on analysing this shape variation. Instead of filtering a difference map, a multilevel analysis of the difference map based on the theory of persistence is developed to make such analysis independent from a choice of threshold values.