The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-3/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 127–133, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W2-127-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 127–133, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W2-127-2015

  10 Mar 2015

10 Mar 2015

HIGH RESOLUTION AIRBORNE SAR IMAGE CHANGE DETECTION IN URBAN AREAS WITH SLIGHTLY DIFFERENT ACQUISITION GEOMETRIES

E. Mendez Dominguez, D. Henke, D. Small, and E. Meier E. Mendez Dominguez et al.
  • Remote Sensing Laboratories RSL, Department of Geography, University of Zurich, CH-8057 Zurich, Switzerland

Keywords: Change Detection, SAR, Remote Sensing, Imaging Geometry, Feature, Building

Abstract. Before applying change detection, high resolution SAR (Synthetic Aperture Radar) imagery benefits from advanced denoising mechanisms to preserve details and minimize speckle. We propose a change detector based on a MCA (Morphological Components Analysis) of a difference image (DI). With MCA, the data is decomposed into image features utilizing sparse representations of the image content. By introducing a priori knowledge of the content of the scenes, and exploiting shape information corresponding to the changes provided by MCA, we can significantly improve performance under adverse conditions, such as inconsistent acquisition geometries.