Four-component scattering power decomposition with rotation of coherency matrix

By Yoshio Yamaguchi, Akinobu Sato, R. Sato, Hiroyoshi Yamada, Wolfgang-Martin Boerner. IEEE International Geoscience and Remote Sensing Symposium, 2010

537 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Oceanography

View Paper: https://www.semanticscholar.org/paper/e666ebb5636fb486ed695742c502cd7c2fed1912

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. Kazuo Ouchi
2. K. Papathanassiou
3. Shane R. Cloude

In Oceanography

1. Kazuo Ouchi
2. K. Papathanassiou

Citations in the corpus

• Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics (2013, background): “In order to compensate this effect, polarimetric analyses can be applied to enhance the images of urban areas [118].”
• Forest biomass estimation using synthetic aperture radar polarimetric features (2015, background): “General target decomposition theories to extract features from polarimetric SAR data, such as the Cloude–Pottier,(13) Freeman–Durden,(14) and Touzi,(15) are currently being improved.(16) Garestier et al.”
• Radar Remote Sensing of Agricultural Canopies: A Review (2017, background): “Yamaguchi [165] added a forth scattering component (helix scattering) 522 to account for co-polarization and cross-polarization correlations, as some contributions from 523 double bounce and surface scattering were thought to be contributing to volume scattering [166], 524 [167].”