Single-baseline polarimetric SAR interferometry

By K. Papathanassiou, Shane R. Cloude. IEEE Transactions on Geoscience and Remote Sensing, 2001

929 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/24c7cb372630f744e8bb25ccc773f06c61d15c24

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. Ridha Touzi
3. Alberto Moreira
4. Irena Hajnsek
5. Michelangelo Villano
6. Marwan Younis
7. K. Papathanassiou
8. Wentao An

In Atmospheric Science

1. Irena Hajnsek
2. Shane R. Cloude
3. Ridha Touzi
4. Gerhard Krieger
5. Alberto Moreira
6. Wentao An
7. Yi Cui
8. Jian Yang

In Environmental Engineering

1. Ridha Touzi
2. Gerhard Krieger
3. Wentao An
4. Yi Cui
5. Jian Yang
6. Irena Hajnsek
7. Shane R. Cloude
8. J. S. Lee

Citations in the corpus

• Three-Component Model-Based Decomposition for Polarimetric SAR Data (2010, methodology): “The experimental L-band polarimetric SAR data were collected by the Deutschen Zentrums für Luft- und Raumfahrt (DLR) E-SAR system, and the test area is close to the Oberpfaffenhofen airport, Germany [19], [20].”
• Compact polarimetry based on symmetry properties of geophysical media: the /spl pi//4 mode (2005, methodology): “This kind of symmetry is often observed in forests (even at penetrating frequencies) and over slightly rough surfaces at low incidences , as supported by work in POL-InSAR [34], [35] or SAR tomography at L-band [36].”
• Potential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation (2012, methodology): “Several methods and techniques for describing texture, based on statistical models have been developed (Podest and Saatchi, 2002; Dekker, 2003; Kuplich and Curran, 2003; Kuplich et al., 2005).”
• A tutorial on synthetic aperture radar (2013, background): “…matrix allows to build up a powerful observation space sensitive to shape, orientation and dielectric properties of the scatterers and allows the development of physical models for the identification and/or separation of scattering mechanisms occurring inside the same resolution cell [1].”
• Tandem-L: A Highly Innovative Bistatic SAR Mission for Global Observation of Dynamic Processes on the Earth's Surface (2015, methodology): “The basis of the 3-D structure mode is the combination of polarimetric SAR interferometry (Pol-InSAR) with multiple baseline SAR coherence tomography [29], [30], [31].”
• Polarization coherence tomography (2006, methodology): “D search procedure for each pixel [Papathanassiou and Cloude, 2001; Cloude and Papathanassiou, 2003] and is also susceptible to two main types of error.”
• Inversion of surface parameters from polarimetric SAR (2003, methodology): “A second challenging way is the new technique of polarimetric interferometry [28], [29].”
• A review of polarimetry in the context of synthetic aperture radar: concepts and information extraction (2004, background): “Recently, Cloude and Papathanassiou (1998) and Papathanassiou and Cloude (2001) introduced a technique for optimum information extraction from interferometric– polarimetric (In–Pol) SAR data.”
• TanDEM-X: A Satellite Formation for High-Resolution SAR Interferometry (2006, methodology): “This analysis is based on the Random Volume over Ground model [15], [71], [72] assuming a vegetation layer with a height of 0.”