Shearlet-based infrared target detection algorithm on complex sea

Ruibin Zou*, Caicheng Shi, Erke Mao

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)

摘要

Aiming at the infrared target detection issue on complex sea, using shearlet anisotropy and geometry characteristic of its coefficients, a shearlet-based infrared target detection algorithm on complex sea is proposed. The algorithm adopts shearlet to acquire edge image and obtain the direction information of the edge, which greatly improves the probability of detection and identification of the sea-sky line. Then, according to the sea-sky line position, the edge image is weighted, which restrains sea clutter and keeps the target information. After the cut-line-mean filtering, the weighted edge image is segmented. Finally, the segmented image is processed with mathematical morphology and the target is detected. Experimental results show that using the proposed algorithm the image target can be detected from a single frame image, and the algorithm can achieve good detection results under the complex sea background with sun bright band, sea clutter and other interference.

源语言英语
页(从-至)1103-1108
页数6
期刊Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
32
5
出版状态已出版 - 5月 2011

指纹

探究 'Shearlet-based infrared target detection algorithm on complex sea' 的科研主题。它们共同构成独一无二的指纹。

引用此