Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images

By Oscar Mora, Jordi J. Mallorquí, A. Broquetas. IEEE Transactions on Geoscience and Remote Sensing, 2003

785 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/bd343bebabde306bba25e6e2d88fa1f4297bc801

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. Gerhard Krieger
2. Janusz Wasowski
3. Fabio Bovenga
4. Riccardo Lanari
5. Alberto Moreira
6. Michele Crosetto
7. Oriol Monserrat
8. Irena Hajnsek

In Atmospheric Science

1. Janusz Wasowski
2. Fabio Bovenga
3. Riccardo Lanari
4. Oriol Monserrat
5. Michele Crosetto
6. Oscar Mora
7. Jordi J. Mallorquí
8. Irena Hajnsek

In Environmental Engineering

1. Janusz Wasowski
2. Fabio Bovenga
3. Riccardo Lanari
4. Michele Crosetto
5. Oriol Monserrat
6. Gerhard Krieger
7. Oscar Mora
8. Jordi J. Mallorquí

Citations in the corpus

• Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives (2014, methodology): “below a certain threshold) and then, after some spatial filtering, infer, using various procedures (Least Mean Squares, Singular Value Decomposition), the connected time series of phase values due to deformation (Berardino et al., 2002; Mora et al., 2003; Usai, 2003).”
• Persistent Scatterer Interferometry: A review (2016, methodology): “Similar approaches to SBAS, based on multilook imagery, were proposed by Mora et al. (2003) and Schmidt and Bürgmann (2003).”
• A tutorial on synthetic aperture radar (2013, background): “…sparse grid to turn the problem linear and ease the forthcoming filtering steps [69], [91], while others exploit phase differences between neighboring pixels working in the complex domain (non-linear optimization), being nevertheless required to perform an integration process afterwards [92], [97].”
• Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning (2017, methodology): “…Hooper et al., 2007), the Interferometric Point Target Analysis IPTA (Werner et al., 2003; Strozzi et al., 2006), the Coherence Pixel Technique CPT (Mora et al., 2006), the Small Baseline Subset SBAS (Lanari et al., 2004; Berardino et al., 2003), the Stable Point Network SPN (Casu et al., 2006;…”
• A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms (2004, methodology): “To achieve this task, possible atmospheric artifacts are identified and compensated for by applying the three-dimensional (spacetime) filtering step described in [5], which is based on the analysis shown in [3] and [15]; however, alternative filtering approaches, such as the one discussed in [8] and”