Optimal Image Classification Employing "Optimal" Polarimetric Variables

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue , 2003, Pages 696-698

  Ainsworth, T L ^a   Lee, J S ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Image classification; Polarimetric SAR; Polarimetry

Indexed keywords

ELECTROMAGNETIC WAVE POLARIZATION; IMAGE PROCESSING; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; POLARIMETERS;

IMAGE CLASSIFICATION;

SYNTHETIC APERTURE RADAR;

EID: 0242711704     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. J. B. Tenenbaum, V. de Silva and J. C. Langford, "A Global Geometric Framework for Non-linear Dimensionality Reduction," Science, Vol. 290, pp. 2319-2323, 2000.
2. S. T. Roweis and L. K. Saul, "Non-linear Dimensionality Reduction by Locally Linear Embedding," Science, Vol. 290, pp. 2323-2326, 2000.
3. T. L. Ainsworth and J. S. Lee, "Optimal Polarimetric Decomposition Variables - Non-linear Dimensionality Reduction," Proceedings IGARSS'01, Sydney, 2001.
4. T. L. Ainsworth, S. R. Cloude and J. S. Lee, "Eigenvector Analysis of Polarimetric SAR Data," Proceedings IGARSS'02, Toronto, 2002.
5. J. S. Lee, M. R. Grunes, T. L. Ainsworth, L. Du, D. L. Schuler and S. R. Cloude, "Unsupervised Classification using Polarimetric Decomposition and the Complex Wishart Classifier," IEEE Trans. Geosci. Remote Sens., Vol. 37, pp. 2249-2258, 1999.