Improved FAST corner-detection method

被引：10

作者：

Xiong, Wenyi ^{[1
]}

Tian, Weiming ^{[2
]}

Yang, Zhijun ^{[1
]}

Niu, Xiaowei ^{[1
]}

Nie, Xiangfei ^{[1
]}

机构：

[1] Chongqing Three Gorges Univ, Sch Elect & Informat Engn, Chongqing, Peoples R China

[2] Beijing Inst Technol, Sch Informat & Elect, Radar Res Lab, Beijing, Peoples R China

来源：

JOURNAL OF ENGINEERING-JOE | 2019年 / 2019卷 / 19期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

synthetic aperture radar; speckle; feature extraction; radar imaging; edge detection; image denoising; image segmentation; FAST corner-detection method; accelerated segment test corner-detection method; corner density; nonmaximum suppression; FAST-8; SAR image speckle noise suppression; point suppression;

D O I：

10.1049/joe.2019.0400

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An improved features from accelerated segment test (FAST) corner-detection method for suppressing SAR image speckle noise is proposed here. The direction of the corner candidate is first computed by the law of universal gravitation and is introduced into corner detection to divide the 16 pixels around the corner candidate into two groups without repeatedly searching. Then, the similarity between the corner candidate and its surrounding pixels is computed to suppress the points affected by SAR speckle noise. Finally, the phenomenon of corner density is eliminated based on non-maximum suppression. The experimental results show that authors' method has better suppressing effect compared with FAST-8 and SIFT corner-detection methods.

引用

页码：5493 / 5497

页数：5

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