Sandy land classification method by combining decision tree and Wishart classifier

Chi Wang; Jiankai Zhao; Jiakun Yuan; Chenyang Zhang; Bo Li; Xuewu An

doi:10.1117/12.3020907

19 January 2024 Sandy land classification method by combining decision tree and Wishart classifier

Chi Wang, Jiankai Zhao, Jiakun Yuan, Chenyang Zhang, Bo Li, Xuewu An

Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129800G (2024) https://doi.org/10.1117/12.3020907
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China

Abstract

In this paper, a new method for SAR image classification based on decision tree and Wishart classifier was proposed. Firstly, feature parameters were extracted from the fully polarimetric SAR data. Next, the extracted feature parameters were used as input of the decision tree. Then the classification result was classified as the initial class of the Wishart classifier. Compared with the H-α decomposition, this method not only retains the physical scattering mechanism of classification results, but also can effectively classify sandy land features. The effectiveness of this method is demonstrated using C-band fully polarimetric SAR data of Hunshandake Sandy Land, acquired by the RADARSAT-2 sensor.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chi Wang, Jiankai Zhao, Jiakun Yuan, Chenyang Zhang, Bo Li, and Xuewu An "Sandy land classification method by combining decision tree and Wishart classifier", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129800G (19 January 2024); https://doi.org/10.1117/12.3020907

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