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15 October 2015 Fully polarimetric high-resolution airborne SAR image change detection with morphological component analysis
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Abstract
Change detection for high resolution Synthetic Aperture Radar (SAR) imagery requires advanced denoising mechanisms to preserve details and minimize speckle. In this work, we propose a change detector based on a Morphological Component Analysis (MCA) of the scattering mechanisms provided with fully polarimetric data sets. With MCA, the power of each scattering mechanism is decomposed into diverse image features. By introducing a priori knowledge of the content of the scenes, and exploiting both the scattering mechanisms and their corresponding shapes, we can significantly improve performance, with fewer false alarms introduced by clutter, focusing errors, and inconsistent acquisition geometries.
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E. Mendez Dominguez, D. Henke, D. Small, and E. Meier "Fully polarimetric high-resolution airborne SAR image change detection with morphological component analysis", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 964312 (15 October 2015); https://doi.org/10.1117/12.2194780
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