Abstract
Interference in millimeter-wave active radar imaging causes harmful effects such as amplitude fluctuation and phase distortion, resulting in deterioration in visualization quality in a radar system employing complex-valued self-organizing map. We show that a complex-valued auto-encoder is capable of extracting features properly even under these influences, resulting in improvement of clustering performance effectively.
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Arima, Y., Hirose, A. (2017). Improvement of Texture Clustering Performance in Complex-Valued SOM by Using Complex-Valued Auto-encoder for Millimeter-Wave Coherent Imaging. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10639. Springer, Cham. https://doi.org/10.1007/978-3-319-70136-3_76
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DOI: https://doi.org/10.1007/978-3-319-70136-3_76
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