ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 233–237, 2018
https://doi.org/10.5194/isprs-annals-IV-3-233-2018
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 233–237, 2018
https://doi.org/10.5194/isprs-annals-IV-3-233-2018

  23 Apr 2018

23 Apr 2018

HETEROGENEITY MEASUREMENT BASED ON DISTANCE MEASURE FOR POLARIMETRIC SAR DATA

Xiaoli Xing, Qihao Chen, and Xiuguo Liu Xiaoli Xing et al.
  • Faculty of Information Engineering, China University of Geosciences (Wuhan), Wuhan, China

Keywords: PolSAR Image, Scene Heterogeneity, Distance Measure, Pauli Basis, Polarimetric Information, Textural Features

Abstract. To effectively test the scene heterogeneity for polarimetric synthetic aperture radar (PolSAR) data, in this paper, the distance measure is introduced by utilizing the similarity between the sample and pixels. Moreover, given the influence of the distribution and modeling texture, the K distance measure is deduced according to the Wishart distance measure. Specifically, the average of the pixels in the local window replaces the class center coherency or covariance matrix. The Wishart and K distance measure are calculated between the average matrix and the pixels. Then, the ratio of the standard deviation to the mean is established for the Wishart and K distance measure, and the two features are defined and applied to reflect the complexity of the scene. The proposed heterogeneity measure is proceeded by integrating the two features using the Pauli basis. The experiments conducted on the single–look and multilook PolSAR data demonstrate the effectiveness of the proposed method for the detection of the scene heterogeneity.