Space-Time Varying Plasma Sheath Effect on Hypersonic Vehicle-Borne SAR Imaging

Song, Lihao; Bai, Bowen; Li, Xiaoping; Niu, Gezhao; Liu, Yanming; Zhao, Liang

doi:10.1109/taes.2022.3166062

Cited by 5 publications

(1 citation statement)

References 35 publications

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“…Synthetic aperture radar (SAR) is considered a wellestablished technology for providing day-and-night and weather-independent images, widely used in geological exploration, ocean research, disaster monitoring, military, environmental, and earth system monitoring, etc. [1], [2], [3], [4], [5], [6]. However, SAR is always an expensive means of monitoring because the expenditure of airplane flights or launching satellites is much higher than other optical or infrared imaging devices [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Analytical Interpretation of Latent Codes in InfoGAN with SAR Images

Feng¹,

Daković²,

Ji³

et al. 2022

Preprint

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Generative Adversarial Networks (GANs) can synthesize abundant photo-realistic synthetic aperture radar (SAR) images. Some recent GANs (e.g., InfoGAN), are even able to edit specific properties of the synthesized images by introducing latent codes. It is crucial for SAR image synthesis since the targets in real SAR images are with different properties due to the imaging mechanism. Despite the success of InfoGAN in manipulating properties, there still lacks a clear explanation of how these latent codes affect synthesized properties, thus editing specific properties usually relies on empirical trials, unreliable and time-consuming. In this paper, we show that latent codes are disentangled to affect the properties of SAR images in a non-linear manner. By introducing some property estimators for latent codes, we are able to provide a completely analytical nonlinear model to decompose the entangled causality between latent codes and different properties. The qualitative and quantitative experimental results further reveal that the properties can be calculated by latent codes, inversely, the satisfying latent codes can be estimated given desired properties. In this case, properties can be manipulated by latent codes as we expect.

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