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| OPTIMAL STATE BASED ML CLASSIFICATION METHOD FOR MULTI-BAND AND FULL-POLARIZATION SAR DATA |
| Wang Zhiyu; Zhu Minhui; Bai Youtian |
| Institute of Ecletronics Chinese Academy of Sciences Beijing 100080 |
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Abstract An ML Classification algorithm that classifies the terrain object in the multi-band, full-polarization SAR image is described in this paper. Its main feature is that the optimal state of polarization SAR image is utilized to classify objects. The searching algorithm for the optimal state and the classification algorithm of terrain targets are provided, and the classifier s performance is verified using the multi-band (P, L and C band), full-polarization testing data that is acquired by AIRSAR. Compared with the single band, single polarization
SAR data, the classification accuracy of the optimal state based classification algorithm is improved significantly.
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Received: 11 June 1999
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2001, Vol. 23 
