Computer-Simulated UWB VHF SAR Targets Based on Statistics of Real Data

Bruna G Palm, Dimas Irion Alves, Renato Machado, Vu Viet Thuy, Mats I. Pettersson

DOI: 10.14209/SBRT.2020.1570649636

Evento: XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2020)

Keywords: CARABAS~II Computer-simulated targets SAR images Statistical analysis

Abstract

In this paper, we performed a statistical study of the targets of wavelength-resolution synthetic aperture radar (SAR) images and addressed the problem of limited training samples. Based on suitable statistical models for the real targets of the evaluated SAR image, we considered a sample generator method to create computer-simulated targets. For such, well-known statistical models, namely, Burr, Gamma, Gaussian, Log-normal, Rayleigh, Rician, and Weibull, are considered for the Anderson-Darling (AD) goodness-of-fit test. This test is a statistical nonparametric hypothesis test generally used to investigate whether a given probability distribution yields a good fit for a given data set. The images used in this study were obtained from the Swedish ultrawideband (UWB) very-high-frequency (VHF) SAR CARABAS II system whose consists of 24 magnitude single-look SAR images. The obtained computer-simulated targets followed similar statistical characteristics when compared to the real ones.

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