Polarimetric SAR image classification -exploiting optimal variables derived from multiple-image datasets

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2004, Pages 188-191

  Ainsworth, T L ^a   Lee, J S ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Classification; Non linear dimensionality reduction; Polarimetric SAR

Indexed keywords

ALGORITHMS; DATA REDUCTION; IMAGE ANALYSIS; NONLINEAR SYSTEMS; OPTIMIZATION; POLARIMETERS;

HIGH-DIMENSIONAL DATA SPACE; NON-LINEAR DIMENSIONALITY REDUCTION; POLARIMETRIC SAR; SUB-OPTIMAL EXTENSIONS;

SYNTHETIC APERTURE RADAR;

EID: 15944390982     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. K. R. Czuchlewski, J. K. Weissel and Y. Kim, "Polarimetric Synthetic Aperture Radar Study of the Tsaoling Landslide Generated by the 1999 Chi-Chi Earthquake, Taiwan", J. Geophys' Res., Vol. 108(F1). 6006, doi: 10.1029/2003JF000037, 2003.
2. 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.
3. S. T. Roweis and L. K. Saul, "Non-linear Dimensionality Reduction by Locally Linear Embedding," Science, Vol. 290, pp. 2323-2326, 2000.
4. D. K. Agrafiotis and H. Xu, "A Self-organizing Principle for Learning Non-linear Manifolds," Proc. Nat. Acad. Sci., Vol. 99, pp. 15869-15872, 2002.
5. T. L. Ainsworth and J.-S. Lee, "Optimal Image Classification Employing "Optimal" Polarimetric Variables," Proceedings IGARSS'03, Toulouse, 2003.
6. T. L. Ainsworth and J.-S. Lee, "Optimal Variable Estimation for Multiple Image Polarimetric SAR Datasets," Proc. EUSAR 2004. Ulm. 2004. pp. 211-214.
7. C. M. Bachmann, T. L. Ainsworth and R. A. Fusina, "Exploiting Manifold Geometry in Hyperspectral Imagery," IEEE Trans. Geosci. Remote Sensing (in press).