Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 19-21, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/19/2013/
doi:10.5194/isprsarchives-XL-1-W1-19-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
30 Apr 2013
REGISTRATION OF OPTICAL DATA WITH HIGH-RESOLUTION SAR DATA: A NEW IMAGE REGISTRATION SOLUTION
T. Bahr1 and X. Jin2 1Exelis Visual Information Solutions GmbH, Gilching, Germany
2Exelis Visual Information Solutions, Boulder, Colorado, USA
Keywords: Image Registration, Multisensor, Optical Data, SAR, TerraSAR-X, Pléiades-1a, Automation, HyPARE, Algorithm Abstract. Accurate image-to-image registration is critical for many image processing workflows, including georeferencing, change detection, data fusion, image mosaicking, DEM extraction and 3D modeling. Users need a solution to generate tie points accurately and geometrically align the images automatically. To solve these requirements we developed the Hybrid Powered Auto-Registration Engine (HyPARE). HyPARE combines all available spatial reference information with a number of image registration approaches to improve the accuracy, performance, and automation of tie point generation and image registration. We demonstrate this approach by the registration of a Pléiades-1a image with a TerraSAR-X SpotLight image of Hannover, Germany. Registering images with different modalities is a known challenging problem; e.g. manual tie point collection is prone to error. The registration engine allows to generate tie points automatically, using an optimized mutual information-based matching method. It produces more accurate results than traditional correlation-based measures. In this example the resulting tie points are well distributed across the overlapping areas, even as the images have significant local feature differences.
Conference paper (PDF, 981 KB)


Citation: Bahr, T. and Jin, X.: REGISTRATION OF OPTICAL DATA WITH HIGH-RESOLUTION SAR DATA: A NEW IMAGE REGISTRATION SOLUTION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 19-21, doi:10.5194/isprsarchives-XL-1-W1-19-2013, 2013.

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