The Imaging Approach of Sparse Interferometry to Microwave Radiation
High efficiency image reconstruction and inversion algorithm is one of the key technologies for interference synthetic aperture microwave radiometer.Due to the fact that the brightness temperature of the Earth has a local smoothness characteristic, it could be random sparse interferometry.Based on compressive sensing, this paper proposes a novel imaging approach of sparse interferometry to microwave radiation.According to the sparity of the image and the characteristic of the interferometry, we set up the microwave radiation sparse interferometric imaging model using Total Variation constraints on the basis of the traditional microwave radiation imaging.In the model, we use a new sparse interferometry to sample frequency information on the basis of the sparse antenna array.During the process of microwave radiation inversion imaging, we use the steepest descent method and the alternate iteration method reconstruct.Experimental results show that the proposed approach is able to rapid, accurate and efficient inverse microwave radiation image.
interference synthetic aperture microwave radiometer compressive sensing random sparse interference method TV reconstruction algorithm steepest descent method Alternating Direction Algorithm Total Variation image inversion
Yuanyuan Liu Suhua Chen Lu Zhu
School of Information Engineering East China Jiaotong University, NanChang, 330013 China
国际会议
2013 International Symposium on Antennas and Propagation(2013天线与传播国际会议)
南京
英文
1280-1283
2013-10-23(万方平台首次上网日期,不代表论文的发表时间)