SIA OpenIR  > 机器人学研究室
SAR Image Segmentation Based on Wavelet Transform Combined with Gabor Filter and SDD Threshold Selection
Liu YY(刘宇阳)1,2; Wang ZZ(王振洲)1; Cong Y(丛杨)1
Department机器人学研究室
Conference Name2018 Progress In Electromagnetics Research Symposium (PIERS)
Conference DateAugust 1-4, 2018
Conference PlaceToyama, JAPAN
Source Publication2018 Progress In Electromagnetics Research Symposium (PIERS)
2018
Pages1-7
Contribution Rank1
AbstractThe synthetic aperture radar (SAR) image is generated by an aperture radar system that can show the observation of the object information without touching the target. One of the key issues in the Extraction and segmentation of the key targets in SAR images containing a lot of feature information. The Gabor ¯lter uses its own texture features and image texture features to response to distinguish textures. It is very suitable for SAR images with obvious texture features. Inspired by this, this paper proposes a SAR image segmentation method based on Wavelet Transform combined with Gabor ¯lter and Slop di®erence distribution (SDD) threshold selection. It contains the following parts: 1) Use the Gabor ¯lter to segment the image's texture feature; 2) Use texture smoothing as image preprocessing and use a robust SDD threshold selection method to segment the gray feature of the image; 3) Use Wavelet Transform combined two segmented images to obtain the ¯nal target segmentation. For segmentation of di®erent types of SAR images, this method has strong robustness. By manually adjusting the parameters in the SDD method and the weighting parameters in the fusion process, more accurate segmentation results can be obtained.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/26062
Collection机器人学研究室
Corresponding AuthorCong Y(丛杨)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China
2.University of Chinese Academy of Sciences, China
Recommended Citation
GB/T 7714
Liu YY,Wang ZZ,Cong Y. SAR Image Segmentation Based on Wavelet Transform Combined with Gabor Filter and SDD Threshold Selection[C],2018:1-7.
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