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Abstract Registration of synthetic aperture radar (SAR) images plays an important role in correcting cumulative errors in inertial navigation systems (INS) to improve the locating accuracy of aircraft navigation systems. However, terrain variations which lead to geometry deformations in SAR images significantly degrade the registration performance. The causes of the geometric deformations in SAR imaging mechanism were analyzed to develop an algorithm to calculate the registration errors induced by terrain undulations using the digital elevation model (DEM) of real-time SAR images. This algorithm can rapidly predict the upper and lower bounds of the registration errors. Furthermore, the prediction can be calculated before registration for all algorithms for compensation to improve the registered results. Tests using 90 pairs of referenced and real-time SAR images demonstrate that the registration errors induced by terrain undulations are all located between the predicted upper and lower bounds.
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Keywords
synthetic aperture radar (SAR)
terrain undulations
digital elevation model (DEM)
registration errors
upper bound
lower bound
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Issue Date: 15 April 2014
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