Aircraft Detection in High-Resolution SAR Images Based on a Gradient Textural Saliency Map

Sensors

Yihua Tan¹  Qingyun Li¹  Yansheng Li¹  Jinwen Tian¹ 

[1] School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan District, Wuhan 430074, China; E-Mails:

关键词: synthetic aperture radar (SAR);    aircraft detection;    directional local gradient distribution;    gradient textural saliency map;   

DOI  :  10.3390/s150923071

来源: mdpi

【 摘 要 】

This paper proposes a new automatic and adaptive aircraft target detection algorithm in high-resolution synthetic aperture radar (SAR) images of airport. The proposed method is based on gradient textural saliency map under the contextual cues of apron area. Firstly, the candidate regions with the possible existence of airport are detected from the apron area. Secondly, directional local gradient distribution detector is used to obtain a gradient textural saliency map in the favor of the candidate regions. In addition, the final targets will be detected by segmenting the saliency map using CFAR-type algorithm. The real high-resolution airborne SAR image data is used to verify the proposed algorithm. The results demonstrate that this algorithm can detect aircraft targets quickly and accurately, and decrease the false alarm rate.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.