Polarimetric Semivariogram-Based Spatial Scale Selection for PolSAR Image Segmentation With Mean-Shift Algorithm

被引:4
作者
Xu, Xiaofang [1 ]
Zou, Bin [1 ]
Zhang, Lamei [1 ]
机构
[1] Harbin Inst Technol, Dept Informat Engn, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Image segmentation; Scattering; Bandwidth; Image analysis; Statistical analysis; Radar imaging; High resolution; mean-shift (MS) segmentation; object-based image analysis (OBIA); polarimetric synthetic aperture radar (PolSAR) image; spatial bandwidth;
D O I
10.1109/LGRS.2020.2994209
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Image segmentation has been an important procedure in object-based image analysis (OBIA), which takes image object as a processing unit. The spatial scale in image segmentation has great importance in OBIA. Due to the high heterogeneity and large dynamic range of polarimetric synthetic aperture radar (PolSAR) images, it is often difficult to choose optimal spatial scales. This letter proposes a polarimetric semivariogram-based spatial scale selection method for PolSAR image segmentation. The optimal spatial bandwidth parameter in the mean-shift algorithm is pre-estimated based on the combined polarimetric and statistical analysis of PolSAR images. By implementing a quantitative evaluation of segmentation result, the effectiveness of the proposed method in optimal spatial bandwidth selection for PolSAR image segmentation is verified. Experiments on both the EMISAR and UAVSAR L-band PolSAR data sets testify the validity of the proposed adaptive optimal bandwidth selection strategy for PolSAR images.
引用
收藏
页码:1239 / 1243
页数:5
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