Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing

By Lei Zhang, Mengdao Xing, Cheng-Wei Qiu, Jun Yu Li, Jialian Sheng, Yachao Li, Zheng Bao. IEEE Transactions on Geoscience and Remote Sensing, 2010

307 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Biomedical Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/6ee64a62bb97da030b971720a2fe438018f1676a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Paolo Rocca
2. Andrea Massa
3. Giacomo Oliveri
4. Robert J. Mailloux
5. Benjamin Fuchs
6. Luca Manica
7. Z. Nie
8. Qing Huo Liu

In Biomedical Engineering

1. Paolo Rocca
2. Giacomo Oliveri
3. Andrea Massa

In Computational Mechanics

1. Paolo Rocca
2. Giacomo Oliveri
3. Andrea Massa

Citations in the corpus

• Compressive Sensing in Electromagnetics - A Review (2015, background): “Dealing with CS applications, inverse SAR (ISAR) problems (in which a fixed radar monitors a moving target to yield high-resolution images [37]) have been widely discussed also [99, 100], because of their intrinsically sparse nature related to the representation of the targets as few strong scattere”