Name
Abstract | ||
|---|---|---|
This paper discusses the capability of the complex Wishart classifier for sea ice and classification using multi- frequency, fully polarimetric SAR data. C-, L-, and P-band data acquired by the JPL AIRSAR in the Beaufort sea was used. Classification using the unsupervised Wishart classifier is a two- stage process. An initial classification is required to seed the algorithm and can be derived using other classification methods. The Wishart classifier then used in iterations where the class means are updated after every step. The convergence of this approach is investigated. The Wishart classifier was found to be extremely dominant so that the classification result after a few iterations depends not necessarily on the initial classification used to derive the first class means. Even an initial classification derived with a random number generator leads to a good result after a few iterations. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1026298 | Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International |
Keywords | Field | DocType |
geophysical signal processing,image classification,oceanographic techniques,radar imaging,radar polarimetry,remote sensing by radar,sea ice,synthetic aperture radar,AIRSAR,Beaufort Sea,C-band,JPL,L-band,P-band,SAR,SHF,UHF,complex Wishart classifier,image classification,measurement technique,multifrequency radar,ocean,radar polarimetry,radar remote sensing,sea ice,synthetic aperture radar,two stage process | Convergence (routing),Sea ice,Radar imaging,L band,Computer science,Synthetic aperture radar,Remote sensing,Contextual image classification,Classifier (linguistics),Wishart distribution | Conference |
Volume | Citations | PageRank |
3 | 6 | 0.80 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernd Scheuchl | 1 | 41 | 5.93 |
| Ian G. Cumming | 2 | 231 | 19.14 |
| Ian G. Cumming | 3 | 231 | 19.14 |