Journal
IEEE ACCESS
Volume 7, Issue -, Pages 32217-32226Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2903808
Keywords
Infrared image sequence; small target detection; local contrast; temporal profile
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Funding
- National Natural Science Foundation of China [61602499, 61471371]
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Infrared small target detection is challenging due to the various background and low signal-to-clutter ratios. Considering the information deficiency faced by single spatial or temporal information, we construct a low false alarm spatial and temporal filter for infrared small target detection. A multiscale patch-based contrast measure is first used to suppress background and remove cloud edges at a coarse level. Then, a temporal variance filter is used to remove small broken cloud regions and suppress noise at a fine level. By integrating these two methods, infrared small targets can be extracted accurately and robustly using an adaptive threshold segmentation. The experimental results indicate that our proposed method can robustly detect small infrared targets with a low false alarm rate.
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