TY - GEN
T1 - Compressive sensing based acquisition and reconstruction technique for remote sensing image
AU - Chen, Hao
AU - Zhang, Ye
AU - Tang, Wenyang
AU - Ma, Xiaoyang
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/79952146200
U2 - 10.1109/ISSCAA.2010.5633091
DO - 10.1109/ISSCAA.2010.5633091
M3 - 会议稿件
AN - SCOPUS:79952146200
SN - 9781424460441
T3 - ISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics
SP - 1421
EP - 1425
BT - ISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics
T2 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010
Y2 - 8 June 2010 through 10 June 2010
ER -