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InSAR Phase Unwrapping Algorithm Based on Ant Colony Algorithm |
Wei Zhi-qiang; Jin Ya-qiu |
Key Laboratory of Wave Scattering and Remote Sensing Information, Ministry of Education, Fudan University, Shanghai 200433, China |
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Abstract According to scaled real Digital Elevation Maps (DEM) information, sets of Single Look Complex (SLC) SAR images are simulated for interferometric missions, based on the SAR imaging mechanism and scattering model of two-scale rough surface. On the basis of the Ant Colony Optimization (ACO), a novel phase unwrapping method is developed. This method is applied to the simulated sets of SAR images and real ENVISAT ASAR images of repeat-path orbits. Experiment results show its improved performances on unwrapping precision and speed with respect to several existed phase unwrapping algorithms.
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Received: 06 September 2006
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