Inversion of surface parameters from polarimetric SAR

By Irena Hajnsek, Eric Pottier, Shane R. Cloude. IEEE Transactions on Geoscience and Remote Sensing, 2003

559 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/f7337a414f4bd2aeadeee862ba2cad0a29603f95

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. Irena Hajnsek
2. Ridha Touzi
3. Shane R. Cloude
4. K. Papathanassiou
5. J. V. Zyl
6. Yunjin Kim
7. Kazuo Ouchi
8. Gerhard Krieger

In Environmental Engineering

1. Ridha Touzi
2. Irena Hajnsek
3. Shane R. Cloude
4. K. Papathanassiou
5. J. V. Zyl
6. Yunjin Kim
7. Kazuo Ouchi
8. Wentao An

In Ocean Engineering

1. Ridha Touzi
2. J. V. Zyl
3. Yunjin Kim

Citations in the corpus

• Target Scattering Decomposition in Terms of Roll-Invariant Target Parameters (2007, methodology): “The characteristic decomposition of the Hermitian target coherency matrix allowed Cloude and Pottier to derive key parameters, such as the scattering type α and the entropyH [1], [3], [9], which have become standard tools for target scattering classification and for geophysical parameter extraction ”
• A Time-Series Approach to Estimate Soil Moisture Using Polarimetric Radar Data (2009, background): “Most existing radar soil moisture algorithms for a bare surface are based on either experimental or theoretical scattering data [3]–[6].”
• Single-baseline polarimetric SAR interferometry (2001, background): “herence to even a small component of ground scattering forces consideration of a multicomponent depolarizing ground scatterer [11], [12].”
• Potential of Estimating Soil Moisture Under Vegetation Cover by Means of PolSAR (2009, background): “effects, the extended Bragg (X-Bragg) model was proposed in [20].”