Unsupervised terrain classification preserving polarimetric scattering characteristics

By Jong-Sen Lee, Mitchell R. Grunes, Eric Pottier, Laurent Ferro-Famil. IEEE Transactions on Geoscience and Remote Sensing, 2004

465 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/cdbb793a7265868024ea739e8b8a2eac3a10bb52

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. Feng Xu
2. Haipeng Wang
3. Yaqiu Jin
4. Yoshio Yamaguchi
5. Hiroyoshi Yamada
6. Kazuo Ouchi
7. Jianwei Ma
8. Siwei Yu

In Environmental Engineering

1. Feng Xu
2. Haipeng Wang
3. Yaqiu Jin
4. Kazuo Ouchi

Citations in the corpus

• Four-component scattering model for polarimetric SAR image decomposition (2005, background): “This method is based on simple physical scattering mechanisms (surface scattering, double-bounce scattering, and volume scattering), and is powerful for POLSAR image decomposition for natural distributed target areas in the P-L-C band.”
• Land Cover Classification of Palsar Images by Knowledge Based Decision Tree Classifier and Supervised Classifiers Based on SAR Observables (2011, background): “[4, 7, 8], Krogager [5], Cameron and Leung [6], Ferro-Famil et al.”
• Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks (2016, background): “2, more samples were selected, because scattering mechanism here is inconsistencies, probably it is influenced by the coastal area [5].”