ISAR Image Reconstruction with Heavily Corrupted Data Based on Normal Inverse Gaussian Model
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RESEARCH ARTICLE
ISAR Image Reconstruction with Heavily Corrupted Data Based on Normal Inverse Gaussian Model Saeed Jafari1 • Farokh Hodjat Kashani1,2 • Ayaz Ghorbani3 Received: 16 May 2018 / Accepted: 8 October 2018 Indian Society of Remote Sensing 2018
Abstract Inverse synthetic aperture radar (ISAR) is a potent radar system which generates two-dimensional signal on the rangeDoppler domain by using target’s motion. ISAR imaging of targets is an important tool for automatic target recognition and classification in the defense and aerospace industry. In this paper, we focus upon the problem of ISAR imaging at low signal to noise ratio (SNR). Nonsubsampled directional filter bank (NSDFB) is a very useful tool in studying the directional features in two-dimensional signals. This paper offers a novel ISAR imaging approach by using NSDFB coefficients modeling. Bayesian maximum a posteriori is used where normal inverse Gaussian model is presumed for estimating ISAR image at low SNR. We applied NSDFB transform to ISAR image and implemented procedure to describe the characteristics of the algorithm. Both simulated and real ISAR data have been tested. The proposed technique keeps a balance between feature preservation and noise suppression. Finally, experimental results show that the offered technique outperforms other in terms of visual assessment and image evaluation parameters. Keywords Inverse synthetic aperture radar (ISAR) Normal inverse Gaussian (NIG) model Nonsubsampled directional filter bank (NSDFB) Bayesian maximum a posteriori
Introduction The alternative to unacceptable large antenna (large real aperture) for high-resolution remote sensing at longer wavelengths is to simulate a large antenna by moving a comparatively smaller one (a synthetic aperture). Synthetic aperture radar (SAR) could be categorized into three types: linear SAR, spotlight SAR, and inverse SAR (ISAR) & Farokh Hodjat Kashani [email protected] Saeed Jafari [email protected] Ayaz Ghorbani [email protected] 1
Electrical and Electronic Engineering Department, Islamic Azad University (IAU), Tehran South Branch, Tehran, Iran
2
Department of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak Street, Tehran 16846-13114, Iran
3
Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
(Mensa 1991). Synthetic aperture methods are a necessity for imaging remotely located targets at microwave frequencies (Mensa 1991), and SAR provides the capability for all-weather and day-or-night operation, which allows data to be collected at any time and produces detailed images of surfaces of Earth and other planets. SAR has been widely used for military and also for nonmilitary purposes in a wide variety of applications in remote sensing and mapping surfaces of Earth and other planets. In SAR system, a small transmitter antenna is installed on a moving platform (an airborne or a satellite) which moves vertically to the line-of-sight to the target, in a horiz
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