Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

Remote-sensing Fusion by Multiscale Block-based Compressed Sensing

Authors
Senlin Yang, Xin Chong
Corresponding Author
Senlin Yang
Available Online December 2015.
DOI
10.2991/nceece-15.2016.280How to use a DOI?
Keywords
Compressed sensing; Remote sensing; Image fusion; Iterative thresholding projection.
Abstract

A new compressive fusion algorithm based on non-uniform sampling is proposed. Although conventional block-based compressed sensing (BCS) represents a low computational cost, it suffers from low reconstruction quality since it is not well accounting for global image features. Employing the structured random matrix, multiscale non-uniform BCS (MNBCS) is implemented with decomposition level-dependent block-sizes and subrates. The proposed methodology improves the reconstruction quality without impacting the computational complexity. Experimental results show that the iterative soft-thresholding projection (ISTP) reconstruction with MNBCS achieves a higher reconstruction quality and a lower computational cost than. At very low sampling rates, MNBCS outperforms traditional wavelet-based fusion techniques.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/nceece-15.2016.280
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.280How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Senlin Yang
AU  - Xin Chong
PY  - 2015/12
DA  - 2015/12
TI  - Remote-sensing Fusion by Multiscale Block-based Compressed Sensing
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1557
EP  - 1560
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.280
DO  - 10.2991/nceece-15.2016.280
ID  - Yang2015/12
ER  -