期刊论文

Wei, Yantao

英文

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

1545-598X

2018

15

1

33-37

10.1109/LGRS.2017.2772030

Manuscript received August 21, 2017; revised October 13, 2017; accepted November 2, 2017. Date of publication December 1, 2017; date of current version December 27, 2017. This work was supported in part by the National Natural Science Foundation of China under Grant 61502195, in part by the Self-Determined Research Funds of CCNU from the Colleges’ Basic Research and Operation of MOE under Grant CCNU16A05022, in part by the Postdoctoral Science Foundation of China under Grant 2015M582223, and in part by the Natural Science Foundation for the Higher Education Institutions of Anhui Province of China under Grant KJ2016A027. (Corresponding author: Yantao Wei.) Y. Shi, Y. Wei, and H. Yao are with the School of Educational Information Technology, Central China Normal University, Wuhan 430079, China (e-mail: yafeishi@mails.ccnu.edu.cn; yantaowei@mail.ccnu.edu.cn; yaohuang@mail.ccnu.edu.cn).

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Robust and efficient infrared (IR) small target detection plays an important role in image processing for IR remote sensing. In order to detect the IR small target with high detection rate, low false alarm rate (FAR), and high detection speed, a novel method called high-boost-based multiscale local contrast measure (HB-MLCM) is proposed in this letter. First, improved high boost filter is proposed to enhance the high frequency signal where the target may appear and suppress the low frequency signal. Then, a simple MLCM is proposed for further enhancing the target and suppressing the background...