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Volume 23 Issue 5
May  2001
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Wang Zhiyu, Zhu Minhui, Bai Youtian. OPTIMAL STATE BASED ML CLASSIFICATION METHOD FOR MULTI-BAND AND FULL-POLARIZATION SAR DATA[J]. Journal of Electronics & Information Technology, 2001, 23(5): 507-511.
Citation: Wang Zhiyu, Zhu Minhui, Bai Youtian. OPTIMAL STATE BASED ML CLASSIFICATION METHOD FOR MULTI-BAND AND FULL-POLARIZATION SAR DATA[J]. Journal of Electronics & Information Technology, 2001, 23(5): 507-511.

OPTIMAL STATE BASED ML CLASSIFICATION METHOD FOR MULTI-BAND AND FULL-POLARIZATION SAR DATA

  • Received Date: 1999-06-11
  • Rev Recd Date: 1999-09-28
  • Publish Date: 2001-05-19
  • 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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  • Brown L M J.Conway J A,Macklin J T,Polarimetirc synthetic-aperture radar,fundamental concepts and analysis tools,Journal of Research,1991,9(1),23-25.[2]Howard A Z,Jakob J vand Zyl,Daniel N H,Imaging radar polarimetry from wave synthesis Journal of Geophysical Research,1987,92(B1),683-701.[3]Middelkoop H,Janssen L L F,Implementation of temporal relationships in knowledge based classification or satellite images Photogramm,Eng Remote Sensing,1991,57(7),937-945.
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