Abstract
In the past 10 years the Time-Frequency (TF) techniques have found significant importance for improvement and refinement of radar images (both SAR and ISAR) and in extraction of objects' features from radar images. The main contributions in this direction are given by V. Chen (Chen and Ling, 2002). Here, we will concentrate our attention on the radar imaging and two novel strategies: S-Method (SM) imaging and Local Polynomial Fourier Transform (LPFT) imaging. The application of these ideas to radar imaging, as well as a procedure for setting design parameter of the algorithms, will be presented. Transformations will be compared in terms of calculation complexity and quality of the resulted radar images. Moreover, it will be demonstrated that the LPFT-based algorithm has better robustness to additive noise than the SM or the adaptive SM.
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Djurović, I., Stanković, L., Popović, V., Daković, M., Thayaparan, T. (2009). Time-Frequency Analysis for Sar and Isar Imaging. In: Amicis, R.D., Stojanovic, R., Conti, G. (eds) GeoSpatial Visual Analytics. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2899-0_9
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DOI: https://doi.org/10.1007/978-90-481-2899-0_9
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