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Inverse Synthetic Aperture Radar

  1. Content type: Research Article

    The adaptive local polynomial Fourier transform is employed for improvement of the ISAR images in complex reflector geometry cases, as well as in cases of fast maneuvering targets. It has been shown that this ...

    Authors: Igor Djurović, Thayananthan Thayaparan and Ljubiša Stanković

    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:036093

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  2. Content type: Research Article

    The problem of the automatic classification of superresolution ISAR images is addressed in the paper. We describe an anechoic chamber experiment involving ten-scale-reduced aircraft models. The radar images of...

    Authors: Emanuel Radoi, André Quinquis and Felix Totir

    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:035043

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  3. Content type: Editorial

    Authors: Marco Martorella, John Homer, James Palmer, Victor Chen, Fabrizio Berizzi, Brad Littleton and Dennis Longstaff

    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:063465

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  4. Content type: Research Article

    Image contrast maximization and entropy minimization are two commonly used techniques for ISAR image autofocusing. When the signal phase history due to the target radial motion has to be approximated with high...

    Authors: Marco Martorella, Fabrizio Berizzi and Silvia Bruscoli

    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:087298

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  5. Content type: Research Article

    A novel motion compensation technique is presented for the purpose of forming focused ISAR images which exhibits the robustness of parametric methods but overcomes their convergence difficulties. Like the most...

    Authors: D. Yau, P. E. Berry and B. Haywood

    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:090716

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  6. Content type: Research Article

    A new approach has been proposed to reduce the computations involved in the ISAR imaging, which uses harmonic wavelet-(HW) based time-frequency representation (TFR). Since the HW-based TFR falls into a categor...

    Authors: B. K. Shreyamsha Kumar, B. Prabhakar, K. Suryanarayana, V. Thilagavathi and R. Rajagopal

    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:086053

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