IEICE TRANSACTIONS on Information
A Weighted Overlapped Block-Based Compressive Sensing in SAR Imaging
Summary :
The compressive sensing (CS) theory has been widely used in synthetic aperture radar (SAR) imaging for its ability to reconstruct image from an extremely small set of measurements than what is generally considered necessary. Because block-based CS approaches in SAR imaging always cause block boundaries between two adjacent blocks, resulting in namely the block artefacts. In this paper, we propose a weighted overlapped block-based compressive sensing (WOBCS) method to reduce the block artefacts and accomplish SAR imaging. It has two main characteristics: 1) the strategy of sensing small and recovering big and 2) adaptive weighting technique among overlapped blocks. This proposed method is implemented by the well-known CS recovery schemes like orthogonal matching pursuit (OMP) and BCS-SPL. Promising results are demonstrated through several experiments.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.3 pp.590-593
- Publication Date
- 2017/03/01
- Publicized
- 2016/12/15
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDL8175
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Hanxu YOU
Shanghai Jiaotong University (SJTU)
Lianqiang LI
Shanghai Jiaotong University (SJTU)
Jie ZHU
Shanghai Jiaotong University (SJTU)
Keyword
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Hanxu YOU, Lianqiang LI, Jie ZHU, "A Weighted Overlapped Block-Based Compressive Sensing in SAR Imaging" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 3, pp. 590-593, March 2017, doi: 10.1587/transinf.2016EDL8175.
Abstract: The compressive sensing (CS) theory has been widely used in synthetic aperture radar (SAR) imaging for its ability to reconstruct image from an extremely small set of measurements than what is generally considered necessary. Because block-based CS approaches in SAR imaging always cause block boundaries between two adjacent blocks, resulting in namely the block artefacts. In this paper, we propose a weighted overlapped block-based compressive sensing (WOBCS) method to reduce the block artefacts and accomplish SAR imaging. It has two main characteristics: 1) the strategy of sensing small and recovering big and 2) adaptive weighting technique among overlapped blocks. This proposed method is implemented by the well-known CS recovery schemes like orthogonal matching pursuit (OMP) and BCS-SPL. Promising results are demonstrated through several experiments.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8175/_p
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@ARTICLE{e100-d_3_590,
author={Hanxu YOU, Lianqiang LI, Jie ZHU, },
journal={IEICE TRANSACTIONS on Information},
title={A Weighted Overlapped Block-Based Compressive Sensing in SAR Imaging},
year={2017},
volume={E100-D},
number={3},
pages={590-593},
abstract={The compressive sensing (CS) theory has been widely used in synthetic aperture radar (SAR) imaging for its ability to reconstruct image from an extremely small set of measurements than what is generally considered necessary. Because block-based CS approaches in SAR imaging always cause block boundaries between two adjacent blocks, resulting in namely the block artefacts. In this paper, we propose a weighted overlapped block-based compressive sensing (WOBCS) method to reduce the block artefacts and accomplish SAR imaging. It has two main characteristics: 1) the strategy of sensing small and recovering big and 2) adaptive weighting technique among overlapped blocks. This proposed method is implemented by the well-known CS recovery schemes like orthogonal matching pursuit (OMP) and BCS-SPL. Promising results are demonstrated through several experiments.},
keywords={},
doi={10.1587/transinf.2016EDL8175},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - A Weighted Overlapped Block-Based Compressive Sensing in SAR Imaging
T2 - IEICE TRANSACTIONS on Information
SP - 590
EP - 593
AU - Hanxu YOU
AU - Lianqiang LI
AU - Jie ZHU
PY - 2017
DO - 10.1587/transinf.2016EDL8175
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2017
AB - The compressive sensing (CS) theory has been widely used in synthetic aperture radar (SAR) imaging for its ability to reconstruct image from an extremely small set of measurements than what is generally considered necessary. Because block-based CS approaches in SAR imaging always cause block boundaries between two adjacent blocks, resulting in namely the block artefacts. In this paper, we propose a weighted overlapped block-based compressive sensing (WOBCS) method to reduce the block artefacts and accomplish SAR imaging. It has two main characteristics: 1) the strategy of sensing small and recovering big and 2) adaptive weighting technique among overlapped blocks. This proposed method is implemented by the well-known CS recovery schemes like orthogonal matching pursuit (OMP) and BCS-SPL. Promising results are demonstrated through several experiments.
ER -
English
