Compressed Sensing(CS)has been proved to be effective in Synthetic Aperture Radar(SAR)imaging.Previous CS-SAR imaging algorithms are very time consuming,especially for producing high-resolution images.In this study,we propose a new CS-SAR imaging method based on the well-known omega-K algorithm,which is precise and convenient to use in SAR imaging.First,we derive an inverse omega-K algorithm to directly obtain echoes without any convolution between the transmitted signal and scene.Then,we formulate the SAR ...
【基金】
The National Natural Science Foundation of China(61431016)
【更新日期】
2017-04-07
【分类号】
TN957.52
【正文快照】
1 Introduction
Synthetic Aperture Radar(SAR)is widely
used to obtain images under all weather conditions at any time of a day[1].With the growing demand for SAR images and the development of SAR imaging technology,the image resolution has increased sign
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