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30 July 2002 Three-dimensional reconstruction from ISAR sequences
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Abstract
Inverse Synthetic Aperture Radar (ISAR) imagery provides an opportunity for 3D reconstruction, because it relies on target motion to provide cross-range resolution and is derived as a temporal sequence. As it moves, the target presents different aspects, which can be integrated to derive the third dimension. Tomasi and Kanade introduced a robust technique for recovering object shape and motion, based on factorization of a matrix that represents the 2D projection equations for a set of points on the target object, as observed in an image sequence. The technique has been applied to orthographic projection Tomasi and Kanade, paraperspective projection Poelman and Kanade, and perspective projection Han and Kanade, but encounters nonlinearities when applied to point perspective projection, which require iterative solution. ISAR projection is naturally well suited for application of the factorization technique because the projection equations are linear. 3D reconstruction may lead to improved performance for automatic target recognition (ATR) procedures and may also be used to enhance human visualization of iamged targets.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank E. McFadden "Three-dimensional reconstruction from ISAR sequences", Proc. SPIE 4744, Radar Sensor Technology and Data Visualization, (30 July 2002); https://doi.org/10.1117/12.488289
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