Compressive Sensing Based Acquisition and Reconstruction Technique for Remote Sensing Image
In this paper, the acquisition and reconstruction technique for remote sensing image (RSI) is proposed based on the new compressive sensing theory. By the sparsity feature of RSI, a less but efficient sparse expressions of the RSI are obtained, using the measurement matrix of the partial Fourier, permute fast Fourier transform and structurally random matrices respectively in RSI acquisition. And the images are reconstructed based on gradient projection of sparse reconstruction. Using 4-meter resolution panchromatic RSI and 32-meter resolution multi-spectral RSI from Beijing-1 micro-satellite, the experimental results indicate that the new technology provides excellecnt objective and subjective reconstructed quality. The peak signal-to-noise ratio (PSNR) results of the reconstructed images reach to 23dB. So the work has a promising application potential for remote sensing imaging.
Hao Chen Ye Zhang Wenyang Tang Xiaoyang Ma
School of Electronics and Information Engineering and the School of Electrical Engineering and Autom School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin,150001 China School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin,150001 China
国际会议
哈尔滨
英文
1409-1413
2010-01-08（万方平台首次上网日期，不代表论文的发表时间）