Three-dimensional multipass SAR focusing: experiments with long-term spaceborne data

By Gianfranco Fornaro, Fabrizio Lombardini, Francesco Serafino. IEEE Transactions on Geoscience and Remote Sensing, 2005

328 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/ccd343ba6bd4b8057446a3f94001d7b37821395c

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. Richard Bamler
2. Xiaoxiang Zhu
3. Alessandra Budillon
4. Gilda Schirinzi
5. Annarita Evangelista
6. Paolo Rocca
7. Andrea Massa
8. Giacomo Oliveri

In Environmental Engineering

1. Richard Bamler
2. Alessandra Budillon
3. Gilda Schirinzi
4. Annarita Evangelista
5. Xiaoxiang Zhu

Citations in the corpus

• Three-Dimensional SAR Focusing From Multipass Signals Using Compressive Sampling (2011, methodology): “an estimate of the reflectivity function with 3-dB elevation resolution related to the maximum orthogonal baseline extent ST [9]”
• Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR (2012, background): “choice of Γ leads to the well-known truncated SVD estimator [16].”
• Very High Resolution Spaceborne SAR Tomography in Urban Environment (2010, methodology): “method [7] for TomoSAR and extend it to the D-TomoSAR case”
• Tomographic SAR Inversion by $L_{1}$ -Norm Regularization—The Compressive Sensing Approach (2010, methodology): “It has been applied to C-band ERS data over extended scenes in [6] and to TerraSAR-X data in [7].”