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Compressive sensing based acquisition and reconstruction technique for remote sensing image

  • Hao Chen*
  • , Ye Zhang
  • , Wenyang Tang
  • , Xiaoyang Ma
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics
Pages1421-1425
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010 - Harbin, China
Duration: 8 Jun 201010 Jun 2010

Publication series

NameISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics

Conference

Conference3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010
Country/TerritoryChina
CityHarbin
Period8/06/1010/06/10

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