Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Fractal Dimension based SAR Image Sparse Degrees Estimation

Authors
Hua Bo, Haiyun Gu, Lei Ren, Hong Xie
Corresponding Author
Hua Bo
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.115How to use a DOI?
Keywords
Compressive sensing, Measurement matrix, Sparsity, Fractal dimension, SAR image
Abstract
Compressed sensing is surprisingly predicts that images, which allow a sparse representation by a suitable basis or a frame, can be recovered from what was previously considered highly incomplete linear measurements by using efficient algorithms. It is a novel research area of SAR images processing. As a result of the design of the observation matrix estimate depends on the image sparse degree, therefore, the estimation precision of the image sparse degree is an important factor to whether can accurate reconstruction images. In this paper, the relationship between the degrees of SAR image sparse and fractal dimension is researched. The experimental results show that the SAR image fractal dimension is proportional to the sizes of the observation matrix, which can be used to set the parameters of the observation matrix.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.115How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hua Bo
AU  - Haiyun Gu
AU  - Lei Ren
AU  - Hong Xie
PY  - 2016/12
DA  - 2016/12
TI  - Fractal Dimension based SAR Image Sparse Degrees Estimation
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.115
DO  - https://doi.org/10.2991/iceeecs-16.2016.115
ID  - Bo2016/12
ER  -