Research of Adaptive Gradient Projection Algorithm on Remote sensing Image Reconstruction

DOI

10.2991/icsem.2013.197How to use a DOI?

Keywords

remote sensing image, signal processing, gradient projection, compressed sensing

Abstract

In order to improve the low efficient and the noise effect of remote sensing image reconstruction, an algorithm of adaptive dual gradient projection for sparse reconstruction of compressed sensing theory is proposed. Point to the high frequency noise of remote sensing image, the ADGPSR algorithm pursuits the projection direction in two conjudate directions, thus the high frequency noise effect is overcame. Experiment results show that, compared with the GPSR algorithm, the ADGPSR algorithm on remote sensing image improves the signals reconstruction accuracy.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haixia Yan
AU  - Yanjun Liu
PY  - 2013/04
DA  - 2013/04
TI  - Research of Adaptive Gradient Projection Algorithm on Remote sensing Image Reconstruction
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 943
EP  - 946
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.197
DO  - 10.2991/icsem.2013.197
ID  - Yan2013/04
ER  -