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ISAR image enhancement based on MCPF and special narrow spectrum filter
Author(s): Ali Cherif Abdelkader; Yong Wang
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Paper Abstract

Inverse Synthetic Aperture Radar system provides high-resolution images of the observed targets with non-cooperative movement. The received signal can take the form of the multicomponent cubic phase signal, and the ISAR image can be generated by the parameters estimation of it. In the real situation, the amplitude of the received signal is varying during the time of observation because of the scatterers Migration Through Resolution Cells (MTRC) and this phenomenon cannot be neglected to get a well-focused ISAR image. In this study, we use the Modified Cubic Function (MCPF) to estimate the phase parameters of the echo and we propose a Special Narrow Spectrum Filter (SNSF) technique to estimate the time varying amplitude. The ISAR image can be enhanced based on the proposed technique ((MCPF plus SNSF)) compared with the previous version (MCPF plus constant amplitude). The experimental work proves the effectiveness of the proposed method.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063W (9 August 2018); doi: 10.1117/12.2502951
Show Author Affiliations
Ali Cherif Abdelkader, Harbin Institute of Technology (China)
Yong Wang, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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