Aug 1, 2013 · In this paper, a Sparse Bayesian Learning based approach in Compressive Sensing framework is proposed for SAR sensor network imaging to reduce ...

A Sparse Bayesian Learning based approach in Compressive Sensing framework is proposed for SAR sensor network imaging to reduce the required number of ...

This paper presents the innovative Compressive Sensing (CS) concept for tomographic reconstruction of 3D neutrospheric water vapor fields using data from Global ...

Abstract: Recently, Compressive Sensing has become a highly attractive technique for SAR imaging since it outperforms existing methods.

In this paper, a Sparse Bayesian Learning based approach in Compressive Sensing framework is proposed for SAR sensor network imaging to reduce the required ...

Trench–Zohar inversion for SAR sensor network 3–D imaging based on compressive sensing. R Min, R Hu, Q Yang. International Journal of Sensor Networks 13 (4), ...

2013 Vol.13 No.4 ; 219-224, Trench-Zohar inversion for SAR sensor network 3-D imaging based on compressive sensing. Rui Min; Ruizhi Hu; Qianqian Yang DOI: ...

Trench–Zohar inversion for SAR sensor network 3–D imaging based on compressive sensing. R Min, R Hu, Q Yang. International Journal of Sensor Networks 13 (4), ...

Multi-baseline SAR tomography is an extension of SAR interferometry ... Trench-Zohar inversion for SAR sensor network 3-D imaging based on compressive sensing.

... network lifetime in an energy-constrained wireless sensor network. 44 ... Trench-Zohar inversion for SAR sensor network 3-D imaging based on compressive sensing.