Super-resolution of geosynchronous synthetic aperture radar images using dialectical GANs
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摘要:
Dear editor,
The concept of geosynchronous synthetic aperture radar (GEO SAR) system was conceived in an effort to realize a quick observation of emergency disasters (e.g.,landslides and earthquakes) [1].The novel GEO SAR system has the significant advantages of short-revisit time and large coverage and facilitates the nearly continuous observation of target regions,unlike the currently operating low earth orbit (LEO) SARs [2].However,the system's integration time requirement of minutes to even hours in obtaining a satisfactory azimuth resolution produces some difficulties in imaging.A long integration time introduces highly curved trajectories,which makes conventional imaging algorithms face lots of challenges [3].Moreover,the impacts of the varied atmosphere,the unstable clutter,and the complex radio frequency interference during the lengthy duration of the integration are likely to seriously jeopardize the image quality [3-6].The aforementioned problems may be prevented by a reduction of the integration time;however,low azimuth resolution and the invisibility of many fine structures in the scene,such as roads and building silhouettes,are the corresponding disadvantages.