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Submitted to IEEE Transactions on Geoscience & Remote Sensing, IGARSS-2000 Special Issue Projection Pursuit Classification of Multi-band Polarimetric SAR Land Images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Trizna, Dennis B. Bachmann, Charles M. Sletten, Mark A. Allan, Nick Toporkov, Jakov V. Harris, Raymond |
| Copyright Year | 2000 |
| Abstract | Results are presented for an experiment utilizing a pastoral land scene with a variety of eight classes, imaged by the NRL dual band (X and L) polarimetric synthetic aperture radar (NUWSAR) at a spatial resolution of 1.2m. Projection Pursuit statistical analysis tools were applied to a set of simultaneous L and X-band fully polarized images to demonstrate the utility of land classification at high spatial resolution from a light aircraft using synthetic aperture radar. The statistical confusion matrix was used as a quantitative optimization measure of classification. Samples of eight classes from a portion of the scene were used to define a training set, then Projection Pursuit tools were used for classification. It is clear that L-band and X-band fully polarized data view the classes in a significantly different manner, and each brings independent information to the analysis. Comparisons were also made with just the L-band data for comparison. These results are not meant to be exhaustive at this time, but to demonstrate the utility of applying projection pursuit tools to multi-band and polarization SAR data, and to give an indication of the quality of classification one can achieve with moderately high spatial resolution SAR data using a light plane platform. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.isr-sensing.com/docs/TGARSS01%20PPClassPol.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Issue |
