期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 12, 期 1, 页码 13-17出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2014.2322960
关键词
Polarimetric synthetic aperture radar (SAR) (PolSAR); SAR; segmentation; simple linear iterative clustering (SLIC); superpixel
类别
资金
- Natural Science Foundation of Sichuan provincial education department [13ZB0008]
The simple linear iterative clustering (SLIC) algorithm shows good performance in superpixel generation for optical imagery. However, SLIC can perform poorly when there is too much noise in the image. To solve this problem, we have improved the cluster center initialization step and the postprocessing step, and then introduce the SLIC superpixel segmentation algorithm to the polarimetric synthetic aperture radar (PolSAR) image processing field. Experiments using AirSAR and ESAR L-band PolSAR data show that the improved SLIC algorithm can overcome the effect of speckle noise in PolSAR imagery, and it shows a better performance in detail preservation than the original SLIC algorithm and the normalized cuts superpixel segmentation algorithm.
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