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
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
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 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.
Conference paper (PDF, 2821 KB)


Citation: Mendez Dominguez, E., Henke, D., Small, D., and Meier, E.: HIGH RESOLUTION AIRBORNE SAR IMAGE CHANGE DETECTION IN URBAN AREAS WITH SLIGHTLY DIFFERENT ACQUISITION GEOMETRIES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 127-133, https://doi.org/10.5194/isprsarchives-XL-3-W2-127-2015, 2015.

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