Target Scattering Decomposition in Terms of Roll-Invariant Target Parameters

By Ridha Touzi. IEEE Transactions on Geoscience and Remote Sensing, 2007

482 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/8a3e6d733b716ee0d6bbb52f0e3f460672e667db

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. Wentao An
2. Kazuo Ouchi
3. Yi Cui
4. Jian Yang
5. Weimin Huang
6. Brian G. Brisco
7. Sahel Mahdavi
8. Meisam Amani

In Environmental Engineering

1. Wentao An
2. Kazuo Ouchi
3. Yi Cui
4. Jian Yang
5. Weimin Huang
6. Brian G. Brisco
7. Sahel Mahdavi
8. Meisam Amani

In Ocean Engineering

1. Wentao An
2. Kazuo Ouchi
3. Yi Cui
4. Jian Yang
5. Weimin Huang
6. Brian G. Brisco
7. Sahel Mahdavi
8. Meisam Amani

Citations in the corpus

• Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics (2013, background): “[120] concluded that the Touzi decomposition [108] is best for classification of rice fields, requiring only a single date of imagery.”
• Remote sensing for wetland classification: a comprehensive review (2018, methodology): “To detect water bodies under vegetation, steep incidence angles (smaller than 35°) are the most appropriate (Li, Chen, and Touzi 2007; Bourgeau-Chavez et al. 2009), as low incidence angles have more penetration depth.”
• Three-Component Model-Based Decomposition for Polarimetric SAR Data (2010, methodology): “THE decomposition of polarimetric synthetic aperture radar (PolSAR) data is a useful tool to analyze and understand the scattering mechanism of ground targets [1], [2].”