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.
王之禹; 朱敏慧; 白有天. 基于最优状态的多波段全极化SAR数据ML分类方法[J]. 电子与信息学报, 2001, 23(5): 507-511 .
Wang Zhiyu; Zhu Minhui; Bai Youtian. OPTIMAL STATE BASED ML CLASSIFICATION METHOD FOR MULTI-BAND AND FULL-POLARIZATION SAR DATA. , 2001, 23(5): 507-511 .
2001, Vol. 23 
