Name
Title | ||
|---|---|---|
Unsupervised classification using polarimetric decomposition and the complex Wishart classifier |
Abstract | ||
|---|---|---|
The authors propose a new method for unsupervised classification of terrain types and man-made objects using polarimetric synthetic aperture radar (SAR) data. This technique is a combination of the unsupervised classification based on polarimetric target decomposition, S.R. Cloude et al. (1997), and the maximum likelihood classifier based on the complex Wishart distribution for the polarimetric covariance matrix, J.S. Lee et al. (1994). The authors use Cloude and Pottier's method to initially classify the polarimetric SAR image. The initial classification map defines training sets for classification based on the Wishart distribution. The classified results are then used to define training sets for the next iteration. Significant improvement has been observed in iteration. The iteration ends when the number of pixels switching classes becomes smaller than a predetermined number or when other criteria are met. The authors observed that the class centers in the entropy-alpha plane are shifted by each iteration. The final class centers in the entropy-alpha plane are useful for class identification by the scattering mechanism associated with each zone. The advantages of this method are the automated classification, and the interpretation of each class based on scattering mechanism. The effectiveness of this algorithm is demonstrated using a JPL/AIRSAR polarimetric SAR image |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/36.789621 | Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International |
Keywords | Field | DocType |
terrain mapping,geophysical techniques,synthetic aperture radar,sar,land surface,man-made object,polarimetric decomposition,polarimetric target decomposition,polarization,training,complex wishart distribution,terrain type,remote sensing by radar,image classification,iteration,geophysical signal processing,radar remote sensing,initial classification map,entropy-alpha plane,radar imaging,maximum likelihood classifier,complex wishart classifier,geophysical measurement technique,radar polarimetry,covariance matrix,unsupervised classification,wishart distribution,indexing terms,image processing,neural networks | Computer vision,Radar imaging,Synthetic aperture radar,Remote sensing,Image processing,Pixel,Artificial intelligence,Covariance matrix,Contextual image classification,Classifier (linguistics),Wishart distribution,Mathematics | Journal |
Volume | Issue | ISSN |
37 | 5 | 0196-2892 |
ISBN | Citations | PageRank |
0-7803-4403-0 | 250 | 22.23 |
References | Authors | |
10 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jong-Sen Lee | 1 | 2825 | 567.12 |
| mitchell r grunes | 2 | 932 | 128.04 |
| T. L. Ainsworth | 3 | 800 | 75.88 |
| Li-Jen Du | 4 | 256 | 24.85 |
| D. L. Schuler | 5 | 400 | 41.94 |
| S. R. Cloude | 6 | 1224 | 129.12 |