A New Operational Approach for Image Registration with High-Resolution SAR Data

Konferenz: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar
06.06.2016 - 09.06.2016 in Hamburg, Germany

Tagungsband: EUSAR 2016

Seiten: 4Sprache: EnglischTyp: PDF

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Jin, Xiaoying (Harris Corporation, 4990 Pearl East Circle, Boulder, Colorado 80301, USA)
Bahr, Thomas (Harris Corporation, Talhofstr. 32a, 82205 Gilching, Germany)

For many image processing workflows, including change detection and data fusion, an accurate and automated image-to-image registration is a critical precondition. Particularly registering images with different modalities (e. g. Optical with SAR) is a known challenging problem. Therefore we developed the Hybrid Powered Auto-Registration Engine (HyPARE), combining 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. For multisource data we implemented an optimized mutual information-based matching method, which produces more accurate results than traditional correlation-based measures. Moreover, we embedded the HyPARE algorithms in an IDL-based Task System – an important prerequisite for the operation in service-based production environments.